Back to search

Article

Prediction of PD-L1 and EBV expression in gastric cancer from H&E-stained Whole Slide Imaging using deep learning

2024-12-20

Abstract excerpt

<title>Abstract</title> <p>PD-L1 inhibitors are more effective for patients with CPS ≥ 5 or EBV positivity in gastric cancer. However, determining PD-L1 and EBV expression requires costly and complex immunohistochemistry staining and in situ hybridization techniques. Therefore, there is a strong need to develop an AI system to assess PD-L1 and EBV expressions using H&E-stained slides. We developed an AI system ba...

Topics

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

Identifiers and source

Literature Corpus work
738d707d-7e63-51d3-bfeb-67b26b74929a
DOI
10.21203/rs.3.rs-5607860/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.
Prediction of PD-L1 and EBV expression in gastric cancer from H&amp;E-stained Whole Slide Imaging using deep learningDOI 10.21203/rs.3.rs-5607860/v1
Select a neighboring publication to make it the new centre.