Omkar2118/datasets huggingface dataset:
ISRUC-Sleep
Full name: ISRUC-Sleep

**ISRUC-Sleep** is a polysomnographic (PSG) dataset. The data were obtained from human adults, including healthy subjects, and subjects with sleep disorders under the effect of sleep medication. The dataset, which is structured to support different research objectives, comprises three groups of data: (a) data concerning 100 subjects, with one recording session per subject, (b) data gathered from 8 subjects; two recording sessions were performed per subject, which are useful for studies involving changes in the PSG signals over time, (c) data collected from one recording session related to 10 healthy subjects, which are useful for studies involving comparison of healthy subjects with the patients suffering from sleep disorders.

Source: [https://sleeptight.isr.uc.pt/](https://sleeptight.isr.uc.pt/)
Image Source: [https://sleeptight.isr.uc.pt/](https://sleeptight.isr.uc.pt/)
LiTS17
Full name: Liver Tumor Segmentation Challenge 2017

**LiTS17** is a liver tumor segmentation benchmark. The data and segmentations are provided by various clinical sites around the world. The training data set contains 130 CT scans and the test data set 70 CT scans.
Image Source: [https://arxiv.org/pdf/1707.07734.pdf](https://arxiv.org/pdf/1707.07734.pdf)

Introducing paper: The Liver Tumor Segmentation Benchmark (LiTS)
NIH-LN
Full name: NIH-Lymph Node

**NIH-Lymph Node** (**NIH-LN**) contains 388 mediastinal LNs in 90 CT scans and 595 abdominal LNs in 86 scans.

Source: [https://sleeptight.isr.uc.pt/](https://sleeptight.isr.uc.pt/)

Introducing paper: A new 2.5 D representation for lymph node detection in CT. The Cancer Imaging Archive.
BraTS 2014
Full name: BraTS 2014

BRATS 2014 is a brain tumor segmentation dataset.

Source: [Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization](https://arxiv.org/abs/1908.06965)
Image Source: [http://people.csail.mit.edu/menze/papers/proceedings_miccai_brats_2014.pdf](http://people.csail.mit.edu/menze/papers/proceedings_miccai_brats_2014.pdf)

Introducing paper: The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
MedDialog
Full name: MedDialog

The MedDialog dataset (Chinese) contains conversations (in Chinese) between doctors and patients. It has 1.1 million dialogues and 4 million utterances. The data is continuously growing and more dialogues will be added. The raw dialogues are from haodf.com. All copyrights of the data belong to haodf.com.

Source: [GitHub](https://github.com/UCSD-AI4H/Medical-Dialogue-System)

Introducing paper: MedDialog: Two Large-scale Medical Dialogue Datasets