Breast Cancer Mass Detection in DCE–MRI Using Deep-Learning Features Followed by Discrimination of Infiltrative vs. In Situ Carcinoma through a Machine-Learning Approach

Breast Cancer Mass Detection in DCE–MRI Using Deep-Learning Features Followed by Discrimination of Infiltrative vs. In Situ Carcinoma through a Machine-Learning Approach

Breast cancer is the leading cause of cancer deaths worldwide in women. This aggressive tumor can be categorized into two main groups—in situ and infiltrative, with the latter being the most common malignant lesions. The current use of magnetic resonance imaging (MRI) was shown to provide the highes...

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Bibliographic Details
Main Authors: Luana Conte, Benedetta Tafuri, Maurizio Portaluri, Alessandro Galiano, Eleonora Maggiulli, Giorgio De Nunzio
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
breast cancer
Radiomics
machine learning
deep learning
segmentation
in situ breast cancer
Online Access:https://www.mdpi.com/2076-3417/10/17/6109

Internet

https://www.mdpi.com/2076-3417/10/17/6109

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