Pattern Classification Approaches for Breast Cancer Identification via MRI: State-Of-The-Art and Vision for the Future

Pattern Classification Approaches for Breast Cancer Identification via MRI: State-Of-The-Art and Vision for the Future

Mining algorithms for Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) of breast tissue are discussed. The algorithms are based on recent advances in multi-dimensional signal processing and aim to advance current state-of-the-art computer-aided detection and analysis of breast tumours...

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Bibliographic Details
Main Authors: Xiao-Xia Yin, Lihua Yin, Sillas Hadjiloucas
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Applied Sciences
Subjects:
Dynamic Contrast Enhanced Magnetic Resonance Imaging
multi-channel reconstruction
self-supervised and semi-supervised deep learning
breast cancer
computer aided classification
breast density
Online Access:https://www.mdpi.com/2076-3417/10/20/7201

Internet

https://www.mdpi.com/2076-3417/10/20/7201

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