Optimizing Cervical Cancer Diagnosis with Feature Selection and Deep Learning

Optimizing Cervical Cancer Diagnosis with Feature Selection and Deep Learning

The main purpose of cervical cancer diagnosis is a correct and rapid detection of the disease and the determination of its histological type. This study investigates the effectiveness of combining handcrafted feature-based methods with convolutional neural networks for the determination of cancer hi...

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Bibliographic Details
Main Authors: Łukasz Jeleń, Izabela Stankiewicz-Antosz, Maria Chosia, Michał Jeleń
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
cervical cancer classification
machine learning
feature selection
convolutional neural networks
medical image classification
machine learning in healthcare
Online Access:https://www.mdpi.com/2076-3417/15/3/1458

Internet

https://www.mdpi.com/2076-3417/15/3/1458

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