openTMAS: Open-source Targeted Medical Images Analysis System
author: Weiling
| index | dataset | note | size | res | samples | link |
|---|---|---|---|---|---|---|
| 1 | pulmonary chest x-ray abnormalities | chest, png, x-ray, partly with mask patly not with mask, hd, with seperate txt to state “gender”, “age”, “normal/abnormal” | 4.1GB | >3000px | 139(with mask) + 663(without mask) | https://www.kaggle.com/kmader/pulmonary-chest-xray-abnormalities |
| 2 | lung segmentation from Chest X-Ray dataset | the same with previous dataset but all masked | 9.6GB | >3000px | 346(abnormal) + 358(normal) | https://www.kaggle.com/nikhilpandey360/chest-xray-masks-and-labels |
| 3 | mimic-cxr database | format: mimic-cxr and jpg, x-ray | credentialed access | uncheck | 377,110 images+ 227,835 studies | https://physionet.org/content/mimic-cxr/2.0.0/ |
| 4 | nih chest x-ray dataset | format: png, x-ray, metadata with view position, gender, height, 50% labeled with findings | 42GB | >1400px | 100,000 images | https://www.kaggle.com/nih-chest-xrays/data |