A computer-aided diagnosis system for dynamic contrast-enhanced MR images based on level set segmentation and ReliefF feature selection

DOI10.1155/2015/450531zbMath1343.92266OpenAlexW2019180375WikidataQ34988958 ScholiaQ34988958MaRDI QIDQ738278

Zhiyong Pang, Li Li, Dihu Chen, Dong-Mei Zhu, Yuan-Zhi Shao

Publication date: 2 September 2016

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/450531

zbMATH Keywords

support vector machinebreast magnetic resonance imagingautomated computer-aided diagnosis

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Medical applications (general) (92C50)

Uses Software

• LIBSVM

Cites Work

• Computerized segmentation and characterization of breast lesions in dynamic contrast-enhanced MR images using fuzzy \(c\)-means clustering and snake algorithm
• Active contours without edges
• Gene selection for cancer classification using support vector machines

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