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abusdata-processing

awesome-semi-supervised-learning

:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

cfun

Combining Faster R-CNN and U-net for efficient medical image segmentation

cmvnet

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

medical-segmentation3d-toolkit

The Medical Segmentation Toolkit is a light-weight segmentation engine which contains training and inference framework in dealing with 3D medical images segmentation.

medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

vnet.pytorch

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

xyc_segwithdistmap

How distance transform maps can assist medical image segmentation?