软件包影像与病理科研包与框架

pathml

PathML

Full-featured computational pathology toolkit. Use for advanced WSI analysis including multiplexed immunofluorescence (CODEX, Vectra), nucleus segmentation, tissue graph construction, and ML model training on pathology data. Supports 160+ slide formats. For simple tile extraction from H&E slides, histolab may be simpler.

这页展示的是上游仓库条目,不代表已进入 SCI Skills 精选目录。

原始路径
scientific-skills/pathml
允许工具
-
仓库版本
2.31.0
同步时间
2026年3月27日

条目说明

条目说明

PathML is a comprehensive Python toolkit for computational pathology workflows, designed to facilitate machine learning and image analysis for whole-slide pathology images. The framework provides modular, composable tools for loading diverse slide formats, preprocessing images, constructing spatial graphs, training deep learning models, and analyzing multiparametric imaging data from technologies like CODEX and multi

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