Implementation for OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation (IEEE Transactions on Biomedical Engineering))
Thank you for your extraordinary contributions. I have a few questions. There are too many "train_xxx.py" files here. If I only want to perform retinal vessel segmentation tasks using my own dataset, which "train" code should I use? Also, my experimental server does not have resource scheduling tools like "slurm". How should I make a modification to the train script to use LocalExecutory?
Please let me know if you need any further assistance with this issue.
Thank you for your extraordinary contributions. I have a few questions. There are too many "train_xxx.py" files here. If I only want to perform retinal vessel segmentation tasks using my own dataset, which "train" code should I use? Also, my experimental server does not have resource scheduling tools like "slurm". How should I make a modification to the train script to use LocalExecutory?
Please let me know if you need any further assistance with this issue.