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A!Path: An Integrated AI-Enabled Digital Pathology Ecosystem for Quality-Controlled Annotation, Flexible Deployment, and End-to-End Security

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By Ong Kok Haur, Lin Jun, Tan Jun Aun
| preprints.org
You are already at the latest version The rapid proliferation of digital pathology has created an urgent need for integrated, scalable, and secure platforms capable of supporting the full lifecycle of whole-slide image (WSI) analysis — from quality assessment through collaborative annotation to AI model deployment. Existing tools address these requirements in isolation, creating fragmented workflows that impede clinical adoption and AI development.
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