A collection of resources on applications of Transformers in Medical Imaging.
brats2021 开源项目推荐(12 个)
brats2021 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 12
GitHub 共 12 个仓库,已全部展示Official Implementation of SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation (CVPR 2024)
PyTorch 3D U-Net implementation for Multimodal Brain Tumor Segmentation (BraTS 2021)
[Brainlesion 2021] Official PyTorch Implementation for Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task
Solution of the RSNA/ASNR/MICCAI Brain Tumor Segmentation (BraTS) Challenge 2021
Official Code for my MIDL 2026 Paper: Investigating the structural cost of anti-aliasing in 3D volumetric medical segmentation. Evaluates the trade-off between spectral smoothing and boundary precision using SegResNet on BraTS 2021.
Brain Tumor Image segmentation-Brats2019, 2020, 2021
Brain Tumor Segmentation in Multi-Modal MRI Using Deep Learning
该项目在 GitHub 上没有填写描述
Open source code currently ready for submission, SAMRNet structure for brain tumor segmentation
MPS-accelerated Brain Tumour Segmentation task based on BraTS '21 task dataset. Uses a hybrid Swin-UNETR + CNN architecture. Optimized for Apple Silicon (M-chip) systems using MPS.
Brain tumor classification based on MGMT methylation status present on the tumor cell.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 12 个项目;原始页面见 https://github.com/topics/brats2021。
- 该话题在 GitHub 上共有 12 个仓库, 本站收录的是其中最热门的 12 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 12 个项目累计 1676 Star,覆盖 2 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。