Deep and Domain Specific Feature-Based Cervical Cancer Classification Using Support Vector Machine Optimized With Particle Swarm Optimization

Deep and Domain Specific Feature-Based Cervical Cancer Classification Using Support Vector Machine Optimized With Particle Swarm Optimization

Cervical cancer presents a significant threat to the global healthcare system and its early detection is a challenging task. Cervical cancer is detected through manual evaluation of Pap smear images by expert pathologists. Computer-aided diagnosis (CAD) systems developed using machine learning and d...

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Bibliographic Details
Main Authors: Ritesh Maurya, Lucky Rajput, Satyajit Mahapatra
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
MobileNetv1
cervical cancer classification
Hu moments
Haralick features
Zernike moment
mutual information
Online Access:https://ieeexplore.ieee.org/document/10806698/
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