Chest Xray 14 Save

Split by image: This repo contains the splits of train, valid and test.

Split by patient: Please be aware that the official splits by patient are only recently available here

Please contribute to the following list:

[1] ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

[2] Learning to diagnose from scratch by exploiting dependencies among labels

[3] CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

[4] Thoracic Disease Identification and Localization with Limited Supervision

[5] Learning to detect chest radiographs containing lung nodules using visual attention networks(Private dataset)

[6] TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays (different tasks, no improvement on using only images)

[7] Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs

[8] Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification

[9] Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks (SOTA achived with extra PLCO dataset)

[10] Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions (SOTA without using extra data)