Stars
An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.
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 d…
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
A list of Medical imaging datasets.
tracking medical datasets, with a focus on medical imaging
jccurtis / hiddenlayer
Forked from waleedka/hiddenlayerNeural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
Library to compute surface distance based performance metrics for segmentation tasks.
A collection of loss functions for medical image segmentation
SOTA medical image segmentation methods based on various challenges
Train the HRNet model on ImageNet
mini-Shark / batchgenerators
Forked from MIC-DKFZ/batchgeneratorsA framework for data augmentation for 2D and 3D image classification and segmentation
A framework for data augmentation for 2D and 3D image classification and segmentation
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Resources of semantic segmantation based on Deep Learning model
A list of papers on Semantic Segmentation.
🤘 awesome-semantic-segmentation
A python library for medical image processing, built by the medical imaging group of Dalian Univerisity of Technology, China
3D Unet biomedical segmentation model powered by tensorpack with fast io speed
Autofocus Layer for Semantic Segmentation
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.
An Open Source Machine Learning Framework for Everyone
Image augmentation for machine learning experiments.
A curated list of awesome Machine Learning frameworks, libraries and software.