Cervical lesion image enhancement based on conditional entropy generative adversarial network framework

Volume: 203, Pages: 523 - 532
Published: Jul 1, 2022
Abstract
Early screening and diagnosis of cervical precancerous lesions are very important to prevent cervical cancer. High-quality colposcopy images will help doctors make faster and more accurate diagnoses. To tackle the problem of low image quality caused by complex interference during colposcopy operation, this paper proposed a conditional entropy generative adversarial networks framework for image enhancement. A decomposition network based on...
Paper Details
Title
Cervical lesion image enhancement based on conditional entropy generative adversarial network framework
Published Date
Jul 1, 2022
Journal
Volume
203
Pages
523 - 532
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.