ATH: Attention-based Triplet Hashing
Paper: Deep Triplet Hashing Network for Case-based Medical Image Retrieval
Accepted: Media Image Analysis
Dataset： 1) Fundus-iSee is a private dataset provided by iMED(https://www.imed-lab.com/). 2) MIMIC-CXR is a public dataset which have been made available on PhysioNet (https://physionet.org/content/mimic-cxr/2.0.0/).
Code: 'torchATH_Fundus-iSee.ipynb' file. If you need more details about the experiments, please contact us.