Back to search

Article

Synthetic Histology Images for Training AI Models: A Novel Approach to Improve Prostate Cancer Diagnosis

2024-01-29

Abstract excerpt

<h4>ABSTRACT</h4> Prostate cancer (PCa) poses significant challenges for timely diagnosis and prognosis, leading to high mortality rates and increased disease risk and treatment costs. Recent advancements in machine learning and digital imagery offer promising potential for developing automated and objective assessment pipelines that can reduce human capital and resource costs. However, the reliance of AI models...

Topics

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

Identifiers and source

Literature Corpus work
51d59212-4af8-5802-8de1-ddd197a3433a
DOI
10.1101/2024.01.25.577225
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.
Synthetic Histology Images for Training AI Models: A Novel Approach to Improve Prostate Cancer DiagnosisDOI 10.1101/2024.01.25.577225
Select a neighboring publication to make it the new centre.