Developing an AI-powered Digital Pathology

Developing an AI-powered Digital Pathology Platform for managing, visualizing, annotating, and analyzing high-resolution Whole Slide Images (WSI).Key Features: Whole Slide Image (.SVS) viewing with Deep Zoom, pan, and zoom. AI-based nuclei segmentation and cell classification using HoVer-Net.Interactive cell visualization and analysis overlays.Rectangle, polygon, and arrow annotation tools.Side-by-side slide comparison with synchronized viewing.Digital pathology case management and slide organization.Structured pathology reporting and PDF export.RESTful API integration and database management.Tech Stack: Python, FastAPI, React.js, SQLite, OpenSlide, OpenSeadragon, PyTorch, HoVer-Net.Currently developing: AI-driven tissue analysis, model validation, and additional pathology workflows.