Back to search

Article

Comprehensive AI Model Development for Gleason Grading: From Scanning, Cloud-based Annotation to Pathologist-AI Interaction

2022-09-22

Abstract excerpt

<title>Abstract</title> <p>AI-based solutions for automated Gleason grading have been developed to assist pathologists to make rapid and quantitative assessments, but the generalization across various scanners and updating AI models continuously using new annotated data from end users remains a key bottleneck in the field. We proposed an comprehensive digital pathology workflow for AI-assisted Gleason grading, in...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
434179e9-be9b-5245-b897-30aa6fb1e105
DOI
10.21203/rs.3.rs-1917695/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Comprehensive AI Model Development for Gleason Grading: From Scanning, Cloud-based Annotation to Pathologist-AI InteractionDOI 10.21203/rs.3.rs-1917695/v1
Select a neighboring publication to make it the new centre.