Back to search

Article

Evaluating Vision and Pathology Foundation Models for Computational Pathology: A Comprehensive Benchmark Study

2025-07-04

Abstract excerpt

<title>Abstract</title> <p>To advance precision medicine in pathology, robust AI-driven foundation models are increasingly needed to uncover complex patterns in large-scale pathology datasets, enabling more accurate disease detection, classification, and prognostic insights. However, despite substantial progress in deep learning and computer vision, the comparative performance and generalizability of these pathol...

Topics

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

Identifiers and source

Literature Corpus work
8289dc07-fee2-5140-9a1c-05e6b69fc87d
DOI
10.21203/rs.3.rs-6823810/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.
Evaluating Vision and Pathology Foundation Models for Computational Pathology: A Comprehensive Benchmark StudyDOI 10.21203/rs.3.rs-6823810/v1
Select a neighboring publication to make it the new centre.