A Study on CNN-Based and Handcrafted Extraction Methods with Machine Learning for Automated Classification of Breast Tumors from Ultrasound Images

A Study on CNN-Based and Handcrafted Extraction Methods with Machine Learning for Automated Classification of Breast Tumors from Ultrasound Images

In this paper, we present an efficient procedure for automatically classifying ultrasound images of benign and malignant breast tumors. We evaluated our approach using four openly available datasets and investigated two categories of feature extraction methods: handcrafted methods (Local Binary Pat...

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Bibliographic Details
Main Authors: Mohamed Benaouali, Mohamed Bentoumi, Mansour Abed, Malika Mimi, Abdelmalik Taleb-Ahmed
Format: Article
Language:English
Published: Computer Vision Center Press 2024-12-01
Series:ELCVIA Electronic Letters on Computer Vision and Image Analysis
Subjects:
breast tumor
ultrasound images
feature extraction
handcrafted methods
pretrained CNN model
classification
Online Access:https://elcvia.cvc.uab.cat/article/view/1887
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https://elcvia.cvc.uab.cat/article/view/1887

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