What this documentation covers, who it’s for, and how to navigate sections efficiently.
Read the site overview ↗
Histopath.ai Documentation
Quick reference guide for everything from code blocks to various useful resources.
Welcome to the living documentation that powers Histopath.ai. This site curates the playbooks, reference guides, and checklists I rely on while bridging anatomical pathology training with computational medicine. Everything is versioned, openly reviewed, and tuned for residency readiness.
Pick your starting point
Section titled “Pick your starting point”Read the site overview ↗
Computational Pathology Pipeline
Follow the end‑to‑end pipeline: cohorts → slides → preprocessing → annotation → features → ML → evaluation → deployment.
Open pipeline overview ↗
Track curated histology and histopathology datasets, plus validation tips for pairing each source with the right governance workflow.
Open datasets hub ↗
Curated Histopathology, Digital Pathology, and YouTube channel lists with notes on how to use them.
Browse learning resources ↗
Linear algebra, calculus, probability, and statistics refreshers that tie directly into WSI ML work.
Open math outline ↗
Normal histology, disease entities, and general pathology—anchoring morphology for clinical and computational work.
Open histopathology hub ↗
How to contribute
Section titled “How to contribute”- Spot an issue? Use the feedback controls built into every page (coming soon) or open a GitHub issue.
- Want to reuse a workflow? Feel free - just preserve attribution and share improvements so we can uplift the whole pathology community.
- Prefer a different format? PDF extracts and presentation-ready summaries are in the works; ping me for early access.
Thanks for visiting, and stay curious - our microscopy world has never been more exciting.