MONAI Label is an intelligent open source image labeling and learning tool.
3d-slicer-extension 开源项目推荐(351 个)
3d-slicer-extension 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 前 20
按 Star 数排序展示前 20 个 · GitHub 共 351 个仓库用于分割医学图像中的任何内容的3D切片器插件
使用“TotalSegmentator”人工智能模型实现3D切片器的全自动全身分割
dcmqi (DICOM for Quantitative Imaging) is a C++ library for conversion between imaging research formats and the standard DICOM representation for image analysis results
Extension for 3D Slicer that allows the application to be used from Jupyter notebook
3D Slicer扩展,用于全自动分割CT和CBCT牙科体积。
一个用于使用 AMASSS、ALI-CBCT 和 ALI-IOS 的 3D 切片软件扩展
3D Slicer extension for cardiac analysis
A 3D Slicer extension for efficient segmentation with nnInteractive.
Open-source toolkit for radiation therapy research, an extension of 3D Slicer. Features include DICOM-RT import/export, dose volume histogram, dose accumulation, external beam planning (TPS), structure comparison and morphology, isodose line/surface generation, etc.
一个切片器扩展,允许用户通过虚拟现实与切片器场景交互。
Extension for 3D Slicer for running MONAI Auto3DSeg models
Extension to import microCT data and conduct 3D morphometrics in Slicer
Modules supporting image-guided interventions in 3D Slicer.
This is a 3D Slicer extension for segmentation and spatial reconstruction of infiltrated, collapsed, and emphysematous areas in lung CT.
Slicer extensions index
This extension aims to provide a GUI for a deep-learning automated teeth segmentation tool that we developed at the University of North Carolina in Chapel Hill in collaboration with the University of Michigan in Ann Arbor.
Diffusion MRI analysis and visualization in 3D Slicer open source medical imaging platform.
3D 切片器 nnUNet 集成,简化基于 nnUNet 的 AI 扩展使用。
3D Slicer extension for Segment Anything Model (SAM) developed by Meta
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 20 个项目;原始页面见 https://github.com/topics/3d-slicer-extension。
- 该话题在 GitHub 上共有 351 个仓库, 本站收录的是其中最热门的 20 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 20 个项目累计 3947 Star,覆盖 2 种主要语言,数据更新于 2026-11-08。
- 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。