Back to search

Article

Nuclei Segmentation in Hematoxylin & Eosin- stained Tissue Images Using U-Net-based Models

2023-06-12

Abstract excerpt

Digital pathology is a rapidly evolving field that seeks to automate workflows to provide clinically relevant information. Automated segmentation algorithms aid in providing quantitative features, such as size and shape of the nuclei, essential in diagnosing diseases. These algorithms’ accuracy is critical for generating reliable results with minimal user intervention while significantly reducing the time required...

Topics

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

Identifiers and source

Literature Corpus work
e1732d12-16cf-5cfb-b071-9cc25e232a7d
DOI
10.21203/rs.3.rs-3028681/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.
Nuclei Segmentation in Hematoxylin & Eosin- stained Tissue Images Using U-Net-based ModelsDOI 10.21203/rs.3.rs-3028681/v1
Select a neighboring publication to make it the new centre.