README.md

Weakly Supervised Semantic Segmentation on retina OCT images

Anomaly-Guided (AGM)

🎉 05/2024 Paper is accepted in Medical Image Analysis (MedAI):

Anomaly-guided weakly supervised lesion segmentation on retinal OCT images

Fully-supervised

semantic segmentation with pixel-level annotation on RESC dataset, for comparison

Structure-Guided (Ongoing)

Download data

1. The datasets, RESC and Duke, are used by all projects in this repo.

2. The datasets can be downloaded from this Google Drive link

3. The RESC and Duke are .tar.gz files which need to be extracted: tar -xzf datasets.tar.gz. The structure of /your_dir/datasets/ should be organized as follows:

---2015_BOE_Chiu/
       --segment_annotation
            --gan_healthy
            --images
            --labels
            --mask
       --train.csv
       --valid.csv

---oct_kaggle/
       --normal_mask
       --origin
            --test/DME
            --train/DME
       --test
            --0.normal
            --1.abnormal
       --train
            --0.normal
            --gan_healthy

---RESC/
       --mask
            --train
            --valid
       --train
            --gan_healthy
            --label_images
            --original_images
       --valid
            --gan_healthy
            --label_images
            --original_images
       --resc_cls_labels.npy