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Multimodal Infant Brain Segmentation by Fuzzy-Informed Deep Learning
Faculty
Computer Science
Year:
2021
Type of Publication:
ZU Hosted
Pages:
Page(s): 1088 - 1101
Authors:
Mohammed Abdel Basset Metwally Attia
Staff Zu Site
Abstract In Staff Site
Journal:
IEEE Transactions on Fuzzy Systems IEEE
Volume:
Volume: 30
Keywords :
Multimodal Infant Brain Segmentation , Fuzzy-Informed Deep
Abstract:
Magnetic resonance imaging (MRI) is a prevailing method of modal infant brain tissue analysis that precisely segments brain tissue and is vitally important for diagnosis, remediation, and analysis of early brain development. To achieve such
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Mohammed Abdel Basset Metwally Attia, "Discrete greedy flower pollination algorithm for spherical traveling salesman problem", Springer, 2019
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Mohammed Abdel Basset Metwally Attia, "A novel equilibrium optimization algorithm for multi-thresholding image segmentation problems", Springer London, 2021
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Mohammed Abdel Basset Metwally Attia, "An efficient binary slime mould algorithm integrated with a novel attacking-feeding strategy for feature selection", Pergamon, 2021
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Mohammed Abdel Basset Metwally Attia, "An efficient teaching-learning-based optimization algorithm for parameters identification of photovoltaic models: Analysis and validations", Pergamon, 2021
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Department Related Publications
Mohammed Abdel Basset Metwally Attia, "The role of single valued neutrosophic sets and rough sets in smart city: Imperfect and incomplete information systems", Elsevier, 2018
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Mai Mohammed Abdul Sattar Jaafar, "The role of single valued neutrosophic sets and rough sets in smart city: Imperfect and incomplete information systems", Elsevier, 2018
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Saber Mohamed, "A Constraint Consensus Memetic Algorithm for Solving Constrained Optimization Problems", Taylor & Francis, 2013
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Saber Mohamed, "Self-Adaptive Differential Evolution Incorporating a Heuristic Mixing of Operators", Springer, 2012
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Saber Mohamed, "Configuring Two-algorithm-based Evolutionary Approach for Solving Dynamic Economic Dispatch Problems", Elsevier, 2016
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