LillySong

open_brats2020

Top 10 brats 2020 Solution

Cream

This is a collection of our NAS and Vision Transformer work.

ICCV2023-Paper-Code-Interpretation

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

FaPN

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

SOTA-MedSeg

SOTA medical image segmentation methods based on various challenges

MHN

ICCV2019

BiTr-Unet

This repo is the source code for [BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation].

SwinBERT

Research code for CVPR 2022 paper "SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning"

research-contributions

Implementations of recent research prototypes/demonstrations using MONAI.

HDC-Net

HDC-Net: Hierarchical Decoupled Convolution Network for Brain Tumor Segmentation

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

TransBTS

This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).

TransUNet

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

pytorch-3dunet

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

BraTS2018-tumor-segmentation

We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.

BraTS2017

EMANet

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

FPT

Implementation for paper: Feature Pyramid Transformer

awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

segtran

Medical Image Segmentation using Squeeze-and-Expansion Transformers

squeeze_and_excitation

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

channel-attention

Gluon implementation of channel-attention modules: SE, ECA, GCT

PytorchInsight

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

PFSeg-Full

PFSeg with multiple improvements

AAAI-2022-papers

AAAI 2022 papers with code

Medical-Transformer

Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

UTNet

Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

CCNet-Pure-Pytorch

Criss-Cross Attention (2d&3d) for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.