Enhancing Early Breast Cancer Detection with Infrared Thermography: A Comparative Evaluation of Deep Learning and Machine Learning Models

Enhancing Early Breast Cancer Detection with Infrared Thermography: A Comparative Evaluation of Deep Learning and Machine Learning Models

Breast cancer remains one of the most prevalent and deadly cancers affecting women worldwide. Early detection is crucial, particularly for younger women, as traditional screening methods like mammography often struggle with accuracy in cases of dense breast tissue. Infrared thermography offers a non...

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Bibliographic Details
Main Authors: Reem Jalloul, Chethan Hasigala Krishnappa, Victor Ikechukwu Agughasi, Ramez Alkhatib
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Technologies
Subjects:
breast cancer detection
deep learning architectures
feature extraction techniques
infrared thermography
machine learning
thermal imaging
Online Access:https://www.mdpi.com/2227-7080/13/1/7
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