Advanced Feature Extraction for Cervical Cancer Image Classification: Integrating Neural Feature Extraction and AutoInt Models

Advanced Feature Extraction for Cervical Cancer Image Classification: Integrating Neural Feature Extraction and AutoInt Models

Cervical cancer remains a significant global public health challenge, affecting over half a million women annually, with a mortality rate of approximately 60%, especially in resource-limited regions. This study presents an advanced methodology for cervical cancer diagnosis through deep learning tech...

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Bibliographic Details
Main Authors: Muhammad Amjad Raza, Hafeez Ur Rehman Siddiqui, Adil Ali Saleem, Kainat Zafar, Afia Zafar, Sandra Dudley, Muhammad Iqbal
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
Subjects:
cervical cancer
Neural Feature Extractor
VGG16
AutoInt
Online Access:https://www.mdpi.com/1424-8220/25/9/2826
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https://www.mdpi.com/1424-8220/25/9/2826

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