Design and analysis of a robust breast cancer diagnostic system based on multimode MR images

Design and analysis of a robust breast cancer diagnostic system based on multimode MR images

In this paper, we propose a Robust Breast Cancer Diagnostic System (RBCDS) based on multimode Magnetic Resonance (MR) images. Firstly, we design a four-mode convolutional neural network (FMS-PCNN) model to detect whether an image contains a tumor. The features of the images generated by different im...

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Bibliographic Details
Main Authors: Hong Yu, Wenhuan Lu, Qilong Sun, Haiqiang Shi, Jianguo Wei, Zhe Wang, Xiaoman Wang, Naixue Xiong
Format: Article
Language:English
Published: AIMS Press 2021-05-01
Series:Mathematical Biosciences and Engineering
Subjects:
classification
convolutional neural networks
magnetic resonance imaging
multiple modes
segmentation
Online Access:http://www.aimspress.com/article/doi/10.3934/mbe.2021180?viewType=HTML

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http://www.aimspress.com/article/doi/10.3934/mbe.2021180?viewType=HTML

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