A Web/Cloud based Digital Pathology Platform Framework for AI Development and Deployment
Zeynettin Akkus, Bryan J. Dangott, Aziza Nassar · bioRxiv (Cold Spring Harbor Laboratory) · 2022
Abstract Digitization of glass slides has brought several opportunities with it for computational pathology and artificial intelligence (AI). The application of AI in digital pathology slides shows potential for QA/QC, triaging cases, and assisting pathologists in clinical decision making. We present an extensible and modular web/cloud based digital pathology framework for AI development and deployment. The proposed platform supports collaborative multi-user and multi-device annotation, remote slide access, and remote telepathology or teleconsultation tasks.