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3dunetcnn

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

acute-ischemic-lesion-segmentation-in-ncct

acute-stroke_detection_segmentation

adam2020

Solution to MICCAI 2020 ADAM

attention-gate-residual-unet

Python implementation of U-Net in combination with attention gate (AG) for brain tumor segmentation

awesome-mlops

A curated list of references for MLOps

blog_mini

An Open Source Blog System that developed with Flask.

caj2pdf-actions

CAJ云转换，基于Github Actions

cmput404-assignment-webserver

CMPUT404-assignment-webserver

deep-learning

:computer:深度学习实战：手写数字识别、Discuz验证码识别、垃圾分类、语义分割

deepvoxnet2

Deep learning processing framework for Keras.

lambdaunet

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

monai

AI Toolkit for Healthcare Imaging

monaibootcamp2021-1

Materials for the 2021 MONAI Bootcamp

monailabel

MONAI Label is an intelligent open source image labeling and learning tool.

nnunet

research-contributions

Implementations of recent research prototypes/demonstrations using MONAI.

sds-net

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

stroke-mri-segmentation

Development framework of the paper "Acute and sub-acute stroke lesion segmentation from multimodal MRI"

transunet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

tutorials

MONAI Tutorials