Fully Automated Support System for Diagnosis of Breast Cancer in Contrast-Enhanced Spectral Mammography Images

Fully Automated Support System for Diagnosis of Breast Cancer in Contrast-Enhanced Spectral Mammography Images

Contrast-Enhanced Spectral Mammography (CESM) is a novelty instrumentation for diagnosing of breast cancer, but it can still be considered operator dependent. In this paper, we proposed a fully automatic system as a diagnostic support tool for the clinicians. For each Region Of Interest (ROI), a fea...

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Bibliographic Details
Main Authors: Annarita Fanizzi, Liliana Losurdo, Teresa Maria A. Basile, Roberto Bellotti, Ubaldo Bottigli, Pasquale Delogu, Domenico Diacono, Vittorio Didonna, Alfonso Fausto, Angela Lombardi, Vito Lorusso, Raffaella Massafra, Sabina Tangaro, Daniele La Forgia
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Journal of Clinical Medicine
Subjects:
breast cancer
contrast-enhanced spectral mammography (CESM)
background parenchymal enhancement (BPE)
computer-automated diagnosis (CADx)
feature extraction
machine learning techniques
Online Access:https://www.mdpi.com/2077-0383/8/6/891

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https://www.mdpi.com/2077-0383/8/6/891

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