Accelerated and accurate cervical cancer diagnosis using a novel stacking ensemble method with explainable AI

Accelerated and accurate cervical cancer diagnosis using a novel stacking ensemble method with explainable AI

Cervical cancer is a preventable yet life-threatening disease that claims hundreds of thousands of lives each year, particularly in low-resource settings where timely screening is scarce. Current Deep Learning (DL) approaches for automated cervical cytology classification encounter challenges such a...

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Bibliographic Details
Main Authors: Md Ismail Hossain Siddiqui, Shakil Khan, Zishad Hossain Limon, Hamdadur Rahman, Mahbub Alam Khan, Abdullah Al Sakib, S M Masfequier Rahman Swapno, Rezaul Haque, Ahmed Wasif Reza, Abhishek Appaji
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Cervical cancer
Explainable AI
Pap smear image analysis
Diagnostic tool
Ensemble learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914825000450
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http://www.sciencedirect.com/science/article/pii/S2352914825000450

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