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Histopath.ai Docs

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Overview
- Overview
- Initial System Setup
Computational Pathology Pipeline
- Step 1 – Data & Cohorts
  - Overview
  - PFP-01: Project folder & path blocks
- Step 2 – Slides & Viewing
- Step 3 – Preprocessing & QC
- Step 4 – Annotation & Labeling
  - Overview
  - LAB-01/02: GeoJSON to masks
- Step 5 – Feature Extraction
  - Overview
  - FEAT-01: Morphometrics & texture
- Step 6 – ML & Modeling
  - Overview
  - ML-01: Classical + deep starts
- Step 7 – Evaluation & Explainability
  - Overview
  - EVAL-01: Confusion, ROC, heatmaps
- Step 8 – Pipelines & Deployment
  - Overview
  - PIPE-01: Streamlit + Docker starter
Image Datasets
Learning Material
Mathematics
Histopathology

GitHub Email Fernando Main site

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Overview

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Overview

Calculus

Focus: gradient intuition, simple loss derivatives, and what they mean for training stability.

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