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Home
PageOverview of ongoing pathology projects, documentation, and study streams.
About
PageBio, focus areas, and contact details for Dr. Fernando Soto.
Projects
PageResearch and engineering work that connects histopathology with pathology informatics tooling.
Pathology informatics study path
PageLiving study path that tracks pathology informatics skills, projects, and outcomes.
Case Library
PageStructured educational cases with diagnostic reasoning and follow-up questions.
News
PageConcise reflections on conferences, tools, and regulatory updates.
DCP 601 – Translational Digital Pathology Notes
Study path moduleRunning digest of key takeaways, labs, and self-checks from the introductory digital pathology course.
DCP 602 – Advanced Digital Pathology Notes
Study path moduleWork-in-progress notes focused on algorithm evaluation, deployment planning, and change management.
Machine Learning Metrics Notes
Study path moduleTranslating core performance metrics into pathology-friendly language I can reuse during project reviews.
Whole-Slide Imaging Pipeline Overview
Study path moduleHigh-level walkthrough of how raw tissue glass translates into model-ready tiles and QC dashboards.
CS 101 – Computer Science Foundations for Pathologists
Study path moduleBridge course that translates core computing concepts into pathology-ready language before diving into Linux, Git, or scanners.
DCP 601 – From Glass to Gigabytes
Study path moduleCourse outline covering scanners, storage, slide identity, and operations math for digital pathology programs.
DCP 602 – Practical WSI Workflows, QA, and QuPath
Study path moduleHands-on QuPath course where I’m building reproducible annotation, QA, and measurement workflows.
Breast – Normal tissue (TCGA BH A0BO)
CaseInteractive whole-slide image of normal breast tissue (TCGA) with pan/zoom viewer.
Breast Carcinoma WSI Pipeline
ProjectReproducible workflow for tiling, training, and reporting attention-based slide classifiers on invasive breast carcinoma.
New Digital Pathology Validation Guidance
NewsFDA and CAP jointly released updated recommendations on reader studies for AI-assisted primary diagnosis.