Solid Tumor Associative Modeling in Pathology
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Updated
Jul 7, 2026 - Python
Solid Tumor Associative Modeling in Pathology
A curated list of publicly available histopathology datasets, accompanied by relevant metadata to facilitate research, analysis, and model development in pathology
Computer Vision framework for automated building pathology detection. M.Sc. Research focused on Deep Learning, Structural Health Monitoring and BIM integration.
A workflow-support application for digital pathology intake.
Protect and trace pathology file flows with Windows-ready, OpenSlide-aware audit tools for healthcare and WSI workflows
Replace or strip the label image in whole-slide imaging files (Aperio SVS, more formats to come). Pure Go.
Whole slide image de-identification and pseudonymisation toolkit for digital pathology.
NLP pipeline and Streamlit app for retrospective melanoma service-level monitoring from pathology reports.
Code repository for reproducing analyses from my scientific papers.
AI-assisted cytology workflow triage, QC review, and predictive analytics platform built with Python and Streamlit.
CardioSeg is an interactive Python tool for nuclei segmentation, and quantitative analysis of H&E-stained histology images. Built on napari and Cellpose, it supports morphological measurements, spatial annotation, and optional integration with spatial transcriptomics data for downstream bioinformatics workflows.
Heterogeneous Disease Mechanisms, Drug Targets, & Biochemical Pathway Discoveries
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