CerviXpert: A Multi-Structural Convolutional Neural Network for Predicting Cervix Type and Cervical Cell Abnormalities

• Published in: arXiv.org
• Main Authors: Rashik Shahriar Akash, Islam, Radiful, S M Saiful Islam Badhon, K S M Tozammel Hossain
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 10.09.2024
• Subjects: Abnormalities; Artificial neural networks; Cancer; Cervical cancer; Cervix; Classification; Cytology; Machine learning; Medical screening; Neural networks

Cervical cancer affects millions of women worldwide and has a significantly higher survival rate when diagnosed early. Pap smears and cervical biopsies are vital screening tools for detecting such cancer. However, the success of these screening processes depends on the skills of cytologists. A recen...