Model: 1aurent/vit_base_patch16_224.owkin_pancancer
Author: 1aurent
Pipeline: feature-extraction
Library: timm
Tags: timm, pytorch, safetensors, feature-extraction, image-classification, biology, cancer, owkin, histology, dataset:owkin/camelyon16-features, dataset:owkin/nct-crc-he, license:other, model-index, co2_eq_emissions, region:us
Card metadata: tags: feature-extraction, image-classification, timm, biology, cancer, owkin, histology
library_name: timm
model-index: name: owkin_pancancer
results: task: type: image-classification
name: Image Classification
dataset: name: Camelyon16[Meta]
type: image-classification
metrics: type: accuracy
value: 94.5 ± 4.4
name: ROC AUC
verified: no, task: type: image-classification
name: Image Classification
dataset: name: TCGA-BRCA[Hist]
type: image-classification
metrics: type: accuracy
value: 96.2 ± 3.3
name: ROC AUC
verified: no, task: type: image-classification
name: Image Classification
dataset: name: TCGA-BRCA[HRD]
type: image-classification
metrics: type: accuracy
value: 79.3 ± 2.4
name: ROC AUC
verified: no, task: type: image-classification
name: Image Classification
dataset: name: TCGA-BRCA[Mol]
type: image-classification
metrics: type: accuracy
value: 81.7 ± 1.6
name: ROC AUC
verified: no, task: type: image-classification
name: Image Classification
dataset: name: TCGA-BRCA[OS]
type: image-classification
metrics: type: accuracy
value: 64.7 ± 5.7
name: ROC AUC
verified: no, task: type: image-classification
name: Image Classification
dataset: name: TCGA-CRC[MSI]
type: image-classification
metrics: type: accuracy
value: 91.0 ± 2.2
name: ROC AUC
verified: no, task: type: image-classification
name: Image Classification
dataset: name: TCGA-COAD[OS]
type: image-classification
metrics: type: accuracy
value: 63.4 ± 7.4
name: ROC AUC
verified: no, task: type: image-classification
name: Image Classification
dataset: name: TCGA-NSCLC[CType]
type: image-classification
metrics: type: accuracy
value: 97.7 ± 1.3
name: ROC AUC
verified: no, task: type: image-classification
name: Image Classification
dataset: name: TCGA-LUAD[OS]
type: image-classification
metrics: type: accuracy
value: 53.8 ± 4.5
name: ROC AUC
verified: no, task: type: image-classification
name: Image Classification
dataset: name: TCGA-LUSC[OS]
type: image-classification
metrics: type: accuracy
value: 62.2 ± 2.9
name: ROC AUC
verified: no, task: type: image-classification
name: Image Classification
dataset: name: TCGA-OV[HRD]
type: image-classification
metrics: type: accuracy
value: 74.2 ± 8.6
name: ROC AUC
verified: no, task: type: image-classification
name: Image Classification
dataset: name: TCGA-RCC[CType]
type: image-classification
metrics: type: accuracy
value: 99.5 ± 0.2
name: ROC AUC
verified: no, task: type: image-classification
name: Image Classification
dataset: name: TCGA-STAD[MSI]
type: image-classification
metrics: type: accuracy
value: 89.9 ± 3.9
name: ROC AUC
verified: no, task: type: image-classification
name: Image Classification
dataset: name: TCGA-PAAD[OS]
type: image-classification
metrics: type: accuracy
value: 59.2 ± 4.1
name: ROC AUC
verified: no
widget: src: https://github.com/owkin/HistoSSLscaling/raw/main/assets/example.tif
example_title: pancancer tile
co2_eq_emissions: emissions: 14590
source: https://www.medrxiv.org/content/10.1101/2023.07.21.23292757v2
training_type: pre-training
geographical_location: Jean Zay cluster, France (~40 gCO₂eq/kWh)
hardware_used: 32 V100 32Gb GPUs, 1216 GPU hours
license: other
license_name: owkin-non-commercial
license_link: https://github.com/owkin/HistoSSLscaling/blob/main/LICENSE.txt
pipeline_tag: feature-extraction
inference: no
datasets: owkin/camelyon16-features, owkin/nct-crc-he
metrics: roc_auc
Likes: 3 | All-time downloads: 5083
Created: 2023-10-22 22:56:17