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2018 | OriginalPaper | Buchkapitel

Intelligent Diagnosis of Breast Cancer Based on Quantitative B-Mode and Elastography Features

verfasst von : Chung-Ming Lo, Ruey-Feng Chang

Erschienen in: Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging

Verlag: Springer International Publishing

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Abstract

Early breast cancer diagnosis improves prognosis of patients. However, the reviewing of image ultrasound is operator-dependent. Computer-aided diagnosis (CAD) systems as the helper for radiologists were proposed to reduce oversight error and increase cancer diagnosis rate.

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Titel: Intelligent Diagnosis of Breast Cancer Based on Quantitative B-Mode and Elastography Features
verfasst von: Chung-Ming Lo
Ruey-Feng Chang
Verlag: Springer International Publishing
Buch: Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging
Print ISBN: 978-3-319-68842-8

Electronic ISBN: 978-3-319-68843-5

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-68843-5_7

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