Optimized Deep Learning for Mammography: Augmentation and Tailored Architectures

This paper investigates the categorization of mammogram images into benign, malignant and normal categories, providing novel approaches based on Deep Convolutional Neural Networks to the early identification and classification of breast lesions. Multiple DCNN models were tested to see how well deep...

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Bibliographic Details
Main Authors: Syed Ibrar Hussain, Elena Toscano
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/16/5/359
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