BI-RADS-Based Classification of Mammographic Soft Tissue Opacities Using a Deep Convolutional Neural Network

BI-RADS-Based Classification of Mammographic Soft Tissue Opacities Using a Deep Convolutional Neural Network

The aim of this study was to investigate the potential of a machine learning algorithm to classify breast cancer solely by the presence of soft tissue opacities in mammograms, independent of other morphological features, using a deep convolutional neural network (dCNN). Soft tissue opacities were cl...

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Bibliographic Details
Main Authors: Albin Sabani, Anna Landsmann, Patryk Hejduk, Cynthia Schmidt, Magda Marcon, Karol Borkowski, Cristina Rossi, Alexander Ciritsis, Andreas Boss
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Diagnostics
Subjects:
breast neoplasms
mammography
neural networks
computer
machine learning
artificial intelligence
Online Access:https://www.mdpi.com/2075-4418/12/7/1564

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