Hybrid segmentation method with confidence region detection for tumor identification
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Ejaz, Khurram ORCID: 0000-0001-8129-5653, Rahim, Mohd Shafry Mohd, Bajwa, Usama Ijaz, Chaudhry, Huma ORCID: 0000-0002-3324-228X, Rehman, Amjad ORCID: 0000-0002-3817-2655 and Ejaz, Ferhan (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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