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