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...
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Identifiers and source
- Literature Corpus work
- 339e29a2-d38c-57d4-8121-bdeb79dc98dd
- DOI
- 10.21203/rs.3.rs-4213321/v1
