Back to search

Article

Automatic colorectal cancer screening using deep-learning on spatial light interference microscopy data

2022-01-18

Abstract excerpt

<h4>ABSTRACT</h4> The surgical pathology workflow currently adopted in the clinic uses staining to reveal tissue architecture within thin sections. A trained pathologist then conducts a visual examination of these slices and, as the investigation is based on an empirical assessment, a certain amount of subjectivity is unavoidable. Furthermore, the reliance on such external contrast agents like hematoxylin and eosi...

Topics

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

Identifiers and source

Literature Corpus work
3601d31c-f146-5c57-867b-ce52390e9a25
DOI
10.1101/2022.01.16.22269381
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.
Automatic colorectal cancer screening using deep-learning on spatial light interference microscopy dataDOI 10.1101/2022.01.16.22269381
Select a neighboring publication to make it the new centre.