Hybrid segmentation method with confidence region detection for tumor identification

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Ejaz, K ORCID: 0000-0001-8129-5653, Rahim, MSM, Bajwa, UI, Chaudhry, Huma ORCID: 0000-0002-3324-228X, Rehman, A ORCID: 0000-0002-3817-2655 and Ejaz, F (2021) Hybrid segmentation method with confidence region detection for tumor identification. IEEE Access, 9. pp. 35256-35278. ISSN 2169-3536

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/45923
DOI 10.1109/ACCESS.2020.3016627
Official URL https://ieeexplore.ieee.org/document/9166508
Subjects Current > FOR (2020) Classification > 3211 Oncology and carcinogenesis
Current > FOR (2020) Classification > 4611 Machine learning
Current > Division/Research > College of Science and Engineering
Keywords Self organization mapping (SOM), KMEAN, Fuzzy C Mean (FCM), features, feature extraction (FE), feature reduction (FR), feature selection (FS), MRI, contour detection, biggest blob area, intensity, hybrid segmentation, confidence region (CR), contour detection (CD)
Citations in Scopus 18 - View on Scopus
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