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NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
The main features of xmed-lab/genericssl are: Segmentation.
Projects with overlapping indexed features include: aimansnigdha/ambiguous-medical-image-segmentation-using-diffusion-models — Accepted in CVPR 2023. aliasgharkhani/slime — 1-shot image segmentation using Stable Diffusion. bodokaiser/piwise — Pixel-wise segmentation on the [VOC2012][dataset] dataset using [pytorch][pytorch]. catalyst-team/segmentation — Catalyst.Segmentation. chenhaoxing/diffusioninst — This repo is the code of paper "DiffusionInst: Diffusion Model for Instance Segmentation" (ICASSP'24). achaiah/pywick — High-level batteries-included neural network training library for Pytorch.
Accepted in CVPR 2023
Pixel-wise segmentation on the VOC2012dataset dataset using pytorchpytorch.
High-level batteries-included neural network training library for Pytorch
