About this document

Cervical Cancer Detection Using FSOD-GAN by gdheepak1979 is a document available to read on EtoBox.

The document presents a hybrid deep learning model, FSOD-GAN, designed for the diagnosis and classification of cervical cancer using digital colposcopy images. It aims to automate the detection of cervical lesions and improve diagnostic accuracy, achieving 99% accuracy in identifying various stages of cervical cancer. The proposed system addresses the challenges of manual intervention and heavy annotation in existing methods, thereby enhancing cervical cancer screening, particularly in developing countries.

Author

gdheepak1979

Language

EN