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brainstorm

Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"

clash-for-windows_chinese

clash for windows汉化版. 提供clash for windows的汉化版, 汉化补丁及汉化版安装程序

clash-verge

A Clash GUI based on tauri. Supports Windows, macOS and Linux.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

dodnet

[CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets

dtc

Semi-supervised Medical Image Segmentation through Dual-task Consistency

hello-world

Just another repository.

learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

midog_evaluation_docker

Evaluation container for the MIDOG 2021 challenge on grand-challenge.org

midog_reference_docker

Reference implementation of domain-adversarial training on a RetinaNet (to use as template in the MIDOG challenge)

mmformer

[MICCAI 2022] The official code for "mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation"

modelsgenesis

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

monai

AI Toolkit for Healthcare Imaging

prototypical-networks

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pytorch-3dunet

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

research-contributions

Implementations of recent research prototypes/demonstrations using MONAI.

rfnet

official code: RFNet for Incomplete Multi-modal Brain Tumor Segmentation

rp3d-diag

Code implementation of RP3D-Diag

segvol

The official code for "SegVol: Universal and Interactive Volumetric Medical Image Segmentation".

spatial-transformer-network

A Tensorflow implementation of Spatial Transformer Networks.

vnet

vnet.pytorch

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