ChestX-ray14

ImagesMedicalUnknownIntroduced 2017-01-01

ChestX-ray14 is a medical imaging dataset which comprises 112,120 frontal-view X-ray images of 30,805 (collected from the year of 1992 to 2015) unique patients with the text-mined fourteen common disease labels, mined from the text radiological reports via NLP techniques. It expands on ChestX-ray8 by adding six additional thorax diseases: Edema, Emphysema, Fibrosis, Pleural Thickening and Hernia.

Source: https://nihcc.app.box.com/v/ChestXray-NIHCC/file/220660789610 Image Source: https://nihcc.app.box.com/v/ChestXray-NIHCC

Benchmarks

1 Image, 2*2 Stitchi/AUROC 1 Image, 2*2 Stitchi/Params 1 Image, 2*2 Stitchi/FLOPS 10-shot image generation/FID Medical Diagnosis/AUROC Medical Image Generation/FID Multi-Label Classification/Average AUC on 14 label Multi-Label Classification/Macro F1 Multi-Task Learning/delta_m Pneumonia Detection/AUROC Pneumonia Detection/Params Pneumonia Detection/FLOPS Transfer Learning/delta_m