Evaluating Deep Learning Architectures for Breast Tumor Classification and Ultrasound Image Detection Using Transfer Learning

Evaluating Deep Learning Architectures for Breast Tumor Classification and Ultrasound Image Detection Using Transfer Learning

The intersection of medical image classification and deep learning has garnered increasing research interest, particularly in the context of breast tumor detection using ultrasound images. Prior studies have predominantly focused on image classification, segmentation, and feature extraction, often a...

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Bibliographic Details
Main Authors: Christopher Kormpos, Fotios Zantalis, Stylianos Katsoulis, Grigorios Koulouras
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Big Data and Cognitive Computing
Subjects:
deep learning architectures
breast tumor classification
transfer learning
convolutional neural network
hierarchical architectures
biomedical technology
Online Access:https://www.mdpi.com/2504-2289/9/5/111
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