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Breast cancer anomaly detection based on the possibility theory with a clustering paradigm., , , , , and . Biomed. Signal Process. Control., 79 (Part): 104043 (2023)2D Parallel Architecture for Morphological Operators Supporting Multiple Shaped Structuring Elements., , and . KES, volume 126 of Procedia Computer Science, page 695-702. Elsevier, (2018)New Possibilistic Formalism Based on Confidence Levels for Metallic Surface Defect Classification., , , , and . IEEE Access, (2024)Ontology based decision system for breast cancer diagnosis., , , and . ICMV, volume 10696 of SPIE Proceedings, page 106962I. SPIE, (2017)A novel automatic segmentation workflow of axial breast DCE-MRI., , , and . ICMV, volume 10696 of SPIE Proceedings, page 106960Q. SPIE, (2017)Detection and analysis of breast masses from MRIs and dual energy contrast enhanced mammography., , and . IPAS, page 1-5. IEEE, (2016)Congest-Net: A new CNN model for Audio based Traffic Congestion., , and . ISIVC, page 1-5. IEEE, (2024)Defect-Net: a new CNN model for steel surface defect classification., , and . ISIVC, page 1-5. IEEE, (2024)A Textural Wavelet Quantization approach for an efficient breast microcalcifcation's detection., , , and . Multim. Tools Appl., 79 (33-34): 24911-24927 (2020)Automatic Skin Lesions Classification Using Ontology-Based Semantic Analysis of Optical Standard Images., and . KES, volume 112 of Procedia Computer Science, page 2096-2105. Elsevier, (2017)