AICoE Project

  • Building a Cooperative A.I. Pathology Analysis Platform

Project Name

Building a Cooperative A.I. Pathology Analysis Platform

Project Goal

*AI for digital pathology image analysis provides the pathway to achieve personal precision medicine

*Pathology image analysis encounters the problems of high labeling cost and image properties drift in different hospitals

*This project aims to build a FL-based collaborative training platform embedded with techniques to resolve the aforementioned problems


Project Description

1. Robust Deep Learning

*Learning against data distribution shift

*Optimized learning based on inaccurate data

*Explainable AI model

2. Self-learning image detection

*Continuous learning for object detection

*Continuous learning based on self-annotation data

3. Less-annotation learning

*Semi-supervised learning

* Weakly supervised learning

4. Open AI Pathology Platform

*Data dynamic agreement

*Data governance and model sharing mechanism


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Milestone