A new approach to diagnosing prostate cancer through magnetic resonance imaging

This paper combines improved GrowCut and Zernik feature extraction and ensemble learning techniques such as KNN, SVM, and MLP algorithms to prostate cancer detection and lesion segmentation in MRI. We use improved GrowCut algorithm for segmentation of the suspected cancer area and the combination of...

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Bibliographic Details
Main Authors: Li Zhang, Longchao Li, Min Tang, Yi Huan, Xiaoling Zhang, Xia Zhe
Format: Article
Language:English
Published: Elsevier 2021-02-01
Series:Alexandria Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016820305354

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