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histolab

维护者 K-Dense Inc. · 最近更新 2026年4月1日

Histolab is a Python library for processing whole slide images (WSI) in digital pathology. It automates tissue detection, extracts informative tiles from gigapixel images, and prepares datasets for deep learning pipelines. The library handles multiple WSI formats, implements sophisticated tissue segmentation, and provides flexible tile extraction strategies.

Claude CodeOpenClawNanoClaw分析处理复现实验histolabimagingpackagemedical imaging & digital pathology

原始来源

K-Dense-AI/claude-scientific-skills

https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/histolab

维护者
K-Dense Inc.
许可
Apache-2.0 license
最近更新
2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

  • Histolab是一个Python 库 ，用于 processing whole slide images (WSI) in digital pathology. It automates tissue detection，extracts informative tiles ，面向 gigapixel images，、 prepares 数据集s ，用于 深度学习 pipelines. 库 handles multiple WSI formats，implements sophisticated tissue 分割，、 provides flexible tile extraction strategies。
  • slide = Slide("slide.svs"，processed_path="output/")。

原始文档

SKILL.md 摘录

Quick Start

Basic workflow for extracting tiles from a whole slide image:

from histolab.slide import Slide
from histolab.tiler import RandomTiler

## Configure tiler

tiler = RandomTiler(
    tile_size=(512, 512),
    n_tiles=100,
    level=0,
    seed=42
)

## Preview tile locations

tiler.locate_tiles(slide, n_tiles=20)

适用场景

  • 可用于basic slide processing tissue detection，tile extraction，stain normalization ，用于 H&E images。
  • Use histolab ，用于 clinical，translational，或 medical research tasks。
  • Apply histolab when healthcare-specific guidance is required。

不适用场景

  • Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。

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