Back to search

Article

Shedding Light on Diagnostic Precision: GANs for Low Light Endoscopy Image Enhancements

2024-04-18

Abstract excerpt

<title>Abstract</title> <p>Understanding and identifying polyps in their early stages is crucial, and computerized diagnostic systems can significantly boost the effectiveness of screening through a large volume of endoscopy images. To achieve this, it's essential to enhance the quality of these images. In our research, we employ a well-established model called CycleGAN, introduced by Zhu et al. , which utilizes...

Topics

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

Identifiers and source

Literature Corpus work
339e29a2-d38c-57d4-8121-bdeb79dc98dd
DOI
10.21203/rs.3.rs-4213321/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.
Shedding Light on Diagnostic Precision: GANs for Low Light Endoscopy Image EnhancementsDOI 10.21203/rs.3.rs-4213321/v1
Select a neighboring publication to make it the new centre.