The resulting NIH-CXR-LT dataset has 20 classes, including 7 head classes, 10 medium classes, and 3 tail classes. NIH-CXR-LT contains 88,637 images labeled with ...

The current state-of-the-art on NIH-CXR-LT is Decoupling (cRT). See a full comparison of 15 papers with code.

Labels for NIH-CXR-LT can be found at https://nihcc.app.box.com/v/ChestXray-NIHCC/folder/174256157515. For both datasets, there is one csv file for each data ...

The resulting NIH-CXR-LT dataset has 20 classes, including 7 head classes, 10 medium classes, and 3 tail classes. NIH-CXR-LT contains 88,637 images labeled with ...

28 сент. 2023 г. · This competition will provide a challenging large-scale multi-label long-tailed learning task on chest X-rays (CXRs), encouraging community engagement.

We conducted an open challenge, CXR-LT, on long-tailed, multi-label thorax disease classification from chest X-rays (CXRs).

National Institutes of Health Chest X-Ray Dataset ... Chest X-ray exams are one of the most frequent and cost-effective medical imaging examinations available.

This task will evaluate a model's ability to perform "in-distribution" long-tailed, multi-label disease classification on CXRs when evaluated on a small test ...

12 июн. 2023 г. · This competition will provide a challenging large-scale multi-label long-tailed learning task on chest X-rays (CXRs), encouraging community engagement.

The resulting NIH-CXR-LT dataset has 20 classes, including 7 head classes, 10 medium classes, and 3 tail classes. NIH-CXR-LT contains 88,637 images labeled with ...