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Intelligent breast cancer recognition using particle swarm optimization and support vector machines.

, and . J. Exp. Theor. Artif. Intell., 28 (6): 1021-1034 (2016)

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From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities., , , , and . CoRR, (2018)Capsule Networks for Brain Tumor Classification Based on MRI Images and Coarse Tumor Boundaries., , and . ICASSP, page 1368-1372. IEEE, (2019)MDR-SURV: A Multi-Scale Deep Learning-Based Radiomics for Survival Prediction in Pulmonary Malignancies., , , and . ICASSP, page 2013-2017. IEEE, (2020)BayesCap: A Bayesian Approach to Brain Tumor Classification Using Capsule Networks., , and . IEEE Signal Process. Lett., (2020)Ct-Caps: Feature Extraction-Based Automated Framework for Covid-19 Disease Identification From Chest Ct Scans Using Capsule Networks., , , , , , and . ICASSP, page 1040-1044. IEEE, (2021)COVID-19 Low-Dose and Ultra-Low-Dose CT Scans., , , , , , , , , and . (June 2021)COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning., , , , , , , , , and . CoRR, (2020)Improved Explainability of Capsule Networks: Relevance Path by Agreement., , , and . GlobalSIP, page 549-553. IEEE, (2018)COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans., , , , , , , and . CoRR, (2021)COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans., , , , , , , , , and 1 other author(s). Frontiers Artif. Intell., (2021)