Fully automatic and segmentation-robust classification of breast tumors based on local texture analysis of ultrasound images

DOI10.1016/J.PATCOG.2009.06.002zbMath1187.68472OpenAlexW2011585383MaRDI QIDQ733178

H. D. Cheng, Bo Liu, Jiafeng Liu, Xianglong Tang, Jiawei Tian, Jian Hua Huang

Publication date: 15 October 2009

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2009.06.002

zbMATH Keywords

texture classificationsupport vector machinebreast ultrasound imagingcomputer aided diagnosis

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Computing methodologies and applications (68U99)

Related Items (1)

A novel classifier model for mass classification using BI-RADS category in ultrasound images based on type-2 fuzzy inference system

Cites Work

• Iterative sliced inverse regression for segmentation of ultrasound and MR images
• Color image segmentation based on homogram thresholding and region merging
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