Habitat Analysis: Biomedical Imaging Toolkit (HABIT)

Tumor habitat analysis and intratumoral heterogeneity quantification for clinical and radiomics research. Workflows are driven by YAML configs: preprocessing, habitat segmentation, feature extraction, and optional machine learning.

Language / 语言：English | 简体中文

Documentation

Online docs: https://lichao312214129.github.io/HABIT

Local build: cd docs && make html → docs/build/html/index.html

Suggested learning path

Workflow chapters

Tools & more

Bundled config templates

After cloning or unpacking the repo, use the config/ folder at the project root (sibling to the habit/ Python package). See config/README_CONFIG.md and Configuration reference.

Source & demo data

• Windows lightweight one-click installer (recommended): Installation
  • Extract to a short ASCII-only path, open launchers/, run 一键安装HABIT.bat, then use 启动HABIT命令行.bat
  • The default environment contains imaging, habitat, and standard ML dependencies only; run 一键启用HABIT-AutoML.bat or 一键启用HABIT-进阶分析.bat from launchers/ only when those features are needed
  • Optional NVIDIA acceleration is installed separately with launchers/一键启用HABIT-GPU.bat, after the CPU environment passes verification
• Source: GitHub
• Demo data: Quickstart

Support & citation

• Issues: GitHub Issues
• Citation: see CITATION.cff
• License: Apache License 2.0. Free for academic and commercial use; the only obligation is to retain the copyright and license notices and to ship NOTICE with redistributions. When HABIT supports scientific work, the authors request -- but do not require as a license condition -- that you cite it