Automated breast cancer detection and classification using ultrasound images: a survey

DOI10.1016/J.PATCOG.2009.05.012zbMath1187.68437OpenAlexW1988819287MaRDI QIDQ733181

Yanhui Guo, H. D. Cheng, Wen Ju, Ling Zhang, Juan Shan

Publication date: 15 October 2009

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

Full work available at URL: https://zenodo.org/record/34780

zbMATH Keywords

CADclassifierscomputer-aided diagnosisultrasound imagingautomated breast cancer detection and classificationfeature extraction and selection

Mathematics Subject Classification ID

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

Related Items (11)

A novel classifier model for mass classification using BI-RADS category in ultrasound images based on type-2 fuzzy inference system ⋮ The fuzzy cluster analysis for interval value using genetic algorithm and its application in image recognition ⋮ Particle method for segmentation of breast tumors in ultrasound images ⋮ A technical review of convolutional neural network-based mammographic breast cancer diagnosis ⋮ Fractional subpixel diffusion and fuzzy logic approach for ultrasound speckle reduction ⋮ A fusion-based approach for breast ultrasound image classification using multiple-ROI texture and morphological analyses ⋮ Bounded-abstaining classification for breast tumors in imbalanced ultrasound images ⋮ Nuclei segmentation for computer-aided diagnosis of breast cancer ⋮ Support vector machine for breast MR image classification ⋮ A Bayesian Belief Network Model for Breast Cancer Diagnosis ⋮ Improving a firefly meta-heuristic for multilevel image segmentation using Tsallis entropy

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