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@orangeshushu orangeshushu released this 22 May 18:21
v3.2.0
0e43dfb

🇨🇳 中文 · 🇺🇸 English

🇨🇳 中文

🎉 v3.2.0

📦 安装方式

文件 大小 平台
TOM-Tongue-Segmentation-v3.2.0.exe 565 MB Windows 10 / 11（64 位）
TOM-Tongue-Segmentation-v3.2.0-arm64.dmg 354 MB macOS 11+（Apple Silicon）

Windows

  1. 下载 TOM-Tongue-Segmentation-v3.2.0.exe
  2. 双击运行安装程序
  3. 选择安装语言（中文 / English）和安装位置
  4. 安装完成后从开始菜单或桌面快捷方式启动

macOS（Apple Silicon，M1/M2/M3/M4）

  1. 下载 TOM-Tongue-Segmentation-v3.2.0-arm64.dmg
  2. 双击挂载 .dmg，将 TOM Tongue Segmentation.app 拖入 Applications 文件夹
  3. 首次启动：由于未经 Apple 公证，可能弹出「无法验证开发者」提示——请在 Applications 中**右键点击应用 →「打开」→ 在弹窗中再次点「打开」**即可正常运行。此后双击启动不再提示。

✨ 主要功能

  • 🎯 一键自动分割：1–3 秒完成舌头区域识别
  • 🎨 交互式微调：点击 / 框选快速修正
  • 📁 批量处理：整个文件夹一次性处理
  • 💾 多种输出：透明 PNG · 二值掩膜 · 叠加可视化
  • ⚡ 高精度模式：可选 GrabCut 边界精修
  • 🌏 中英双语：可在界面右上角切换

📋 系统要求

  • Windows 10 / 11（64 位）· 或 macOS 11 Big Sur 及以上（Apple Silicon）
  • 4 GB+ RAM
  • 约 1.5 GB 磁盘空间
  • macOS 自动启用 Apple MPS 加速

📖 引用

如本工具对您的研究有帮助，欢迎引用：

Xie, J., Zhang, Z., Poudel, B., et al. (2026). TOM: An open-source tongue segmentation method with multi-teacher distillation and task-specific data augmentation. Expert Systems with Applications, 131499.

🔗 在 ScienceDirect 查看

🇺🇸 English

🎉 v3.2.0

📦 Install

File Size Platform
TOM-Tongue-Segmentation-v3.2.0.exe 565 MB Windows 10 / 11 (64-bit)
TOM-Tongue-Segmentation-v3.2.0-arm64.dmg 354 MB macOS 11+ (Apple Silicon)

Windows

  1. Download TOM-Tongue-Segmentation-v3.2.0.exe
  2. Double-click to run the installer
  3. Choose language (中文 / English) and install location
  4. Launch from the Start menu or desktop shortcut once installed

macOS (Apple Silicon, M1/M2/M3/M4)

  1. Download TOM-Tongue-Segmentation-v3.2.0-arm64.dmg
  2. Double-click the .dmg to mount it and drag TOM Tongue Segmentation.app into Applications
  3. First launch: because the bundle is not Apple-notarized, macOS may say "cannot be verified". To get past it, right-click the app in Applications → Open → Open in the confirmation dialog. After that first launch, double-clicking works normally.

✨ Features

  • 🎯 One-click auto segmentation: tongue region identified in 1–3 seconds
  • 🎨 Interactive fine-tuning: click / box-select to correct
  • 📁 Batch processing: process an entire folder at once
  • 💾 Multiple outputs: transparent PNG · binary mask · overlay visualization
  • ⚡ High-accuracy mode: optional GrabCut boundary refinement
  • 🌏 Bilingual UI: switch language from the top-right corner

📋 System Requirements

  • Windows 10 / 11 (64-bit), or macOS 11 Big Sur+ (Apple Silicon)
  • 4 GB+ RAM
  • ~1.5 GB disk space
  • Apple MPS acceleration used automatically on macOS

📖 Citation

If this tool helps your research, please cite our paper:

Xie, J., Zhang, Z., Poudel, B., et al. (2026). TOM: An open-source tongue segmentation method with multi-teacher distillation and task-specific data augmentation. Expert Systems with Applications, 131499.

🔗 View on ScienceDirect

🏛️ Developed by · 研发团队

Digital Biology Laboratory (DBL) · University of Missouri

⭐ Star this repo to get notified of future updates · 欢迎 Star 获取后续更新通知

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