cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/fdye0-s2v52
title: E.coli minicell/Pul T2SS

description: Grid box YWC249PAP5357 (over-producing FtsZ)
description: <strong>Tilt Series Date:</strong> 2017-04-18</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Escherichia coli</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 130.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain provided by Ingrid Guilvout in Olivera Francetic lab</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-04-18-11/rawdata/</p>20170418_YWC249_10011.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-04-18-11/rawdata/20170418_YWC249_10011.mrc"
        > <i class="download icon"></i> Download </a></p>

        20170418_YWC249_10011_full.rec,  Reconstruction (Pixel Size 1.56 nm), 534.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-04-18-11/3dimage_83940/20170418_YWC249_10011_full.rec"
        > <i class="download icon"></i> Download </a></p>

        ycw2017-04-18-11_slicer19289.png,  REZ .  -andrew, 743.4 kB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/Caps/ycw2017-04-18-11_slicer19289.png"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/mcr0g-4c330
title: H. pylori 26695 WT / AGS

description: Grid box YWC230AGS cells infected by H. pylori grown under 1X cholesterol/dipyridyl (iron-starved) conditions
description: <strong>Tilt Series Date:</strong> 2017-06-07</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> reupload_downloaded</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain and sample prepared by Carrie Shaffer</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-06-07-45/3dimage_85207/</p>20170607_YWC230_10035.rec,  Reconstruction (Pixel Size 1.56 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-06-07-45/3dimage_85207/20170607_YWC230_10035.rec"
        > <i class="download icon"></i> Download </a></p>

        20170607_YWC230_10035.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-06-07-45/rawdata/20170607_YWC230_10035.mrc"
        > <i class="download icon"></i> Download </a></p>

        20170607_YWC230_10035_SIRT.rec,  Reconstruction (Pixel Size 0.0 nm), 11.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-06-07-45/3dimage_85237/20170607_YWC230_10035_SIRT.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/tqy18-de867
title: INS-1E with Calreticulin-YFP

description: CLEM and ECT
description: <strong>Tilt Series Date:</strong> 2016-04-17</p>
<strong>Data Taken By:</strong> Shrawan kumar Mageswaran</p>
<strong>Species / Specimen:</strong> INS-1E Pancreatic Cells expressing Calreticulin-YFP</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-55.0°, 55.0°), step: 1°, constant angular increment, dosage: 0.47368421 eV/Å²,  defocus: -8.0 μm,  magnification: 18000x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> IMOD</p>
<strong>Collaborators and Roles:</strong> Zachary Freyberg from University of Pittsburgh provided the frozen cells on grids. Collaboration via Stephen Carter. CLEM and ECT done by me.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-04-17-16/rawdata/</p>Calreticulin-TS9.st,  Tilt Series (Pixel Size 0.6 nm), 3.2 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-04-17-16/rawdata/Calreticulin-TS9.st"
        > <i class="download icon"></i> Download </a></p>

        Calreticulin-TS9_full.rec,  Reconstruction (Pixel Size 2.4 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-04-17-16/3dimage_74345/Calreticulin-TS9_full.rec"
        > <i class="download icon"></i> Download </a></p>

        Calreticulin-TS9-NS.rec,  Reconstruction (Pixel Size 2.4 nm), 112.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-04-17-16/3dimage_74505/Calreticulin-TS9-NS.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/8xg12-h6e28
title: Streptomyces venezuelae

description: Sporulating Svet
description: <strong>Tilt Series Date:</strong> 2015-04-16</p>
<strong>Data Taken By:</strong> Elitza Tocheva</p>
<strong>Species / Specimen:</strong> Streptomyces venezuelae</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 180.0 eV/Å²,  defocus: -10.0 μm,  magnification: 18000x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Batchruntomo</p>
<strong>Collaborators and Roles:</strong> Susan and Mark Buttner</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2015-04-16-10/rawdata/</p>Sven_liqLB0002.mrc,  Tilt Series (Pixel Size 0.6 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2015-04-16-10/rawdata/Sven_liqLB0002.mrc"
        > <i class="download icon"></i> Download </a></p>

        Sven_liqLB0002.rec,  Reconstruction (Pixel Size 2.4 nm), 1.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2015-04-16-10/3dimage_54141/Sven_liqLB0002.rec"
        > <i class="download icon"></i> Download </a></p>

        etl2015-04-16-10_slicer19156.png,  551.4 kB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/Caps/etl2015-04-16-10_slicer19156.png"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/wx9dr-x4z09
title: Chromogranin A-GFP

description: INS-1E Pancreatic Beta Cells expressing Chromogranin A-GFP
description: <strong>Tilt Series Date:</strong> 2015-12-10</p>
<strong>Data Taken By:</strong> Stephen Carter</p>
<strong>Species / Specimen:</strong> INS-1E Pancreatic Cells expressing Chromogranin A GFP</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 200.0 eV/Å²,  defocus: -10.0 μm,  magnification: 18000x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> reupload_downloaded</p>
<strong>Processing Software Used:</strong> IMOD</p>
<strong>Collaborators and Roles:</strong> Zach Freyberg</p>
description: Files available via S3 at s://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/scd2015-12-10-2/3dimage_71290/</p>tomography10.rec,  Reconstruction (Pixel Size 24.0 nm), 2.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/scd2015-12-10-2/3dimage_71290/tomography10.rec"
        > <i class="download icon"></i> Download </a></p>

        tomography10.mrc,  Tilt Series (Pixel Size 6.0 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/scd2015-12-10-2/rawdata/tomography10.mrc"
        > <i class="download icon"></i> Download </a></p>

        tomography10new_full.rec,  Reconstruction (Pixel Size 0.0 nm), 533.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/scd2015-12-10-2/3dimage_118652/tomography10new_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/fz1xx-45q93
title: INS-1E with Mito-DsRed

description: CLEM and ECT
description: <strong>Tilt Series Date:</strong> 2016-04-17</p>
<strong>Data Taken By:</strong> Shrawan kumar Mageswaran</p>
<strong>Species / Specimen:</strong> Unspecified</p>
<strong>Strain:</strong> None</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-55.0°, 55.0°), step: 1°, constant angular increment, dosage: 0.47368421 eV/Å²,  defocus: -8.0 μm,  magnification: 18000x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> IMOD</p>
<strong>Collaborators and Roles:</strong> Cells frozen by Zach Freyberg at University of Pittsburgh.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-04-17-35/rawdata/</p>Mito-TS8.st,  Tilt Series (Pixel Size 0.6 nm), 3.2 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-04-17-35/rawdata/Mito-TS8.st"
        > <i class="download icon"></i> Download </a></p>

        Mito-TS8_part111_10.rec,  Reconstruction (Pixel Size 2.4 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-04-17-35/3dimage_74384/Mito-TS8_part111_10.rec"
        > <i class="download icon"></i> Download </a></p>

        Mito-TS8-NS.rec,  Reconstruction (Pixel Size 2.4 nm), 179.1 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-04-17-35/3dimage_74768/Mito-TS8-NS.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.8nphpn
title: Occurrence Download

description: A dataset containing 309 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxalis jacquiniana"
 ]
}

 The dataset includes 309 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037791-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12849864
title: Egypt Gold Prices | Daily Updated
DOI: 10.22002/awjgd-6n525
title: INS-1E with Mito-DsRed

description: CLEM and ECT
description: <strong>Tilt Series Date:</strong> 2016-04-17</p>
<strong>Data Taken By:</strong> Shrawan kumar Mageswaran</p>
<strong>Species / Specimen:</strong> Unspecified</p>
<strong>Strain:</strong> None</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-55.0°, 55.0°), step: 1°, constant angular increment, dosage: 0.47368421 eV/Å²,  defocus: -8.0 μm,  magnification: 18000x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> IMOD</p>
<strong>Collaborators and Roles:</strong> Cells frozen by Zach Freyberg at University of Pittsburgh.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-04-17-34/rawdata/</p>Mito-TS7.st,  Tilt Series (Pixel Size 0.6 nm), 3.2 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-04-17-34/rawdata/Mito-TS7.st"
        > <i class="download icon"></i> Download </a></p>

        Mito-TS7_full.rec,  Reconstruction (Pixel Size 2.4 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-04-17-34/3dimage_74383/Mito-TS7_full.rec"
        > <i class="download icon"></i> Download </a></p>

        Mito-TS7-NS.rec,  Reconstruction (Pixel Size 2.4 nm), 107.8 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-04-17-34/3dimage_74767/Mito-TS7-NS.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/rdq13-4z238
title: Cos7 cells

description: Synchronized Cos7 cells, looking for midbodies
description: <strong>Tilt Series Date:</strong> 2015-01-20</p>
<strong>Data Taken By:</strong> Rasika Ramdasi</p>
<strong>Species / Specimen:</strong> Cos7</p>
<strong>Strain:</strong> Cos7 cells</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -10.0 μm,  magnification: 18000x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> UCSF tomo</p>
<strong>Sample Preparation:</strong> Synchronized Cos7 cells with siRNA NUP 153 and Thymidine 2mM</p>
  rra2015-01-20-13_slicer12720.jpg: Autophagolysosomes? .  [2015-02-17 12:42:49] Autophagosome rra2015-01-20-13_slicer12721.jpg:  .  [2015-02-17 12:42:37] Autophagosome
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/rra2015-01-20-13/rawdata/</p>cos20001.mrc,  Tilt Series (Pixel Size 0.6 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/rra2015-01-20-13/rawdata/cos20001.mrc"
        > <i class="download icon"></i> Download </a></p>

        cos20001.rec,  Reconstruction (Pixel Size 2.4 nm), 1.2 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/rra2015-01-20-13/3dimage_51167/cos20001.rec"
        > <i class="download icon"></i> Download </a></p>

        cos20001new_full.rec,  Reconstruction (Pixel Size 0.0 nm), 241.8 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/rra2015-01-20-13/3dimage_51348/cos20001new_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/cxknb-3pg60
title: B/r H266 / R1-16 conjugation

description: Grid box YWC238
description: <strong>Tilt Series Date:</strong> 2017-01-19</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Escherichia coli</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain and sample prepared by Carrie Shaffer</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-01-19-40/rawdata/</p>20160119_YWC238_10040.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-01-19-40/rawdata/20160119_YWC238_10040.mrc"
        > <i class="download icon"></i> Download </a></p>

        20160119_YWC238_10040_full.rec,  Reconstruction (Pixel Size 1.56 nm), 534.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-01-19-40/3dimage_81339/20160119_YWC238_10040_full.rec"
        > <i class="download icon"></i> Download </a></p>

        ycw2017-01-19-40_slicer19291.png,  REZ .  -andrew, 819.3 kB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/Caps/ycw2017-01-19-40_slicer19291.png"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.jnqu45
title: Occurrence Download

description: A dataset containing 1323 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gaultheria glomerata"
 ]
}

 The dataset includes 1323 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037794-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc26rwtp
title: CCDC 2048753: Experimental Crystal Structure Determination

description: Related Article: VENNILA KN|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.p6vvay
title: Occurrence Download

description: A dataset containing 17076 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxalis violacea"
 ]
}

 The dataset includes 17076 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037792-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48802/owey.0tnx-g641
title: ITS2 amplicon sequences for the characterization of the gut mycobiota of 604 healthy subjects from the Milieu Intérieur cohort

description: The raw reads from the ITS2-targeted sequencing for 604 Milieu Intérieur subjects, in fastq. This dataset is composed of 1208 fastq files (604 for the forward sequencing and 604 for the reverse sequencing).
description: Library construction, quality control and sequencing were performed by Novogene (Beijing, China). PCR amplification of ITS2 regions was performed by using ITS3/ITS4 primers, using Novogene’s pipeline. The PCR products were selected by 2% agarose gel electrophoresis. PCR products from each sample were pooled, end-repaired, A-tailed and further ligated with Illumina adapters. The library was quantified with Qubit and real-time PCR, and the size distribution estimated with a bioanalyzer. Quantified libraries were pooled and sequenced on Illumina NovaSeq platforms (Novogene, Beijing, China), according to effective library concentration and data amount required. Paired-end reads were assigned to samples based on their unique barcode and truncated by cutting off the barcode and primer sequence. Quality filtering on the raw reads was performed under specific filtering conditions (Novogene, Beijing, China) to obtain the high-quality clean reads. Paired-end clean reads were merged using FLASH based on the reads overlap.
DOI: 10.6084/m9.figshare.28472985
title: Deep transfer learning radiomics for distinguishing sinonasal malignancies: a preliminary MRI study

description: This study aimed to assess the diagnostic accuracy of combining MRI hand-crafted (HC) radiomics features with deep transfer learning (DTL) in identifying sinonasal squamous cell carcinoma (SCC), adenoid cystic carcinoma (ACC), and non-Hodgkin’s lymphoma (NHL) using various machine learning (ML) models. A retrospective analysis of 132 patients (50 with SCC, 42 with NHL, 40 with ACC) was conducted. The dataset was split 80/20 into training and testing cohorts. HC radiomics and DTL features were extracted from T2-weighted, ADC, and contrast-enhanced T1-weighted MRI images. ResNet50, a pre-trained convolutional neural network, was used for DTL feature extraction. LASSO regression was applied to select features and create radiomic signatures. Seven ML models were evaluated for classification performance. The radiomic signature included 24 hC and 8 DTL features. The support vector machine (SVM) model achieved the highest accuracy (92.6%) in the testing cohort. The SVM model’s ROC analysis showed macro-average and micro-average AUC values of 0.98 and 0.99. AUCs for ACC, NHL, and SCC were 0.99, 0.97, and 1.00. K-nearest neighbors (KNN) and XGBoost also showed AUC values above 0.90. Combining MRI-based HC radiomics and DTL features with the SVM model enhanced differentiation between sinonasal SCC, NHL, and ACC.
DOI: 10.6084/m9.figshare.28472985.v1
title: Deep transfer learning radiomics for distinguishing sinonasal malignancies: a preliminary MRI study

description: This study aimed to assess the diagnostic accuracy of combining MRI hand-crafted (HC) radiomics features with deep transfer learning (DTL) in identifying sinonasal squamous cell carcinoma (SCC), adenoid cystic carcinoma (ACC), and non-Hodgkin’s lymphoma (NHL) using various machine learning (ML) models. A retrospective analysis of 132 patients (50 with SCC, 42 with NHL, 40 with ACC) was conducted. The dataset was split 80/20 into training and testing cohorts. HC radiomics and DTL features were extracted from T2-weighted, ADC, and contrast-enhanced T1-weighted MRI images. ResNet50, a pre-trained convolutional neural network, was used for DTL feature extraction. LASSO regression was applied to select features and create radiomic signatures. Seven ML models were evaluated for classification performance. The radiomic signature included 24 hC and 8 DTL features. The support vector machine (SVM) model achieved the highest accuracy (92.6%) in the testing cohort. The SVM model’s ROC analysis showed macro-average and micro-average AUC values of 0.98 and 0.99. AUCs for ACC, NHL, and SCC were 0.99, 0.97, and 1.00. K-nearest neighbors (KNN) and XGBoost also showed AUC values above 0.90. Combining MRI-based HC radiomics and DTL features with the SVM model enhanced differentiation between sinonasal SCC, NHL, and ACC.