A hybrid approach for cervical cancer detection: Combining D-CNN, transfer learning, and ensemble models

A hybrid approach for cervical cancer detection: Combining D-CNN, transfer learning, and ensemble models

Cervical cancer is the leading cause of cancer-related death among women worldwide, although it is easily preventable through early detection and treatment. This paper proposed deep learning techniques, specifically transfer learning, deep convolutional neural networks (D-CNNs), and ensemble learnin...

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Bibliographic Details
Main Authors: Abu Hanzala, Tanjila Akter, Md. Sadekur Rahman
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Array
Subjects:
Cervical cancer
Cervical cancer detection
Convolutional neural network
Deep learning
Transfer learning
D-CNN
Online Access:http://www.sciencedirect.com/science/article/pii/S259000562500061X
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http://www.sciencedirect.com/science/article/pii/S259000562500061X

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