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- Computing and Processing
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- General Topics for Engineers
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- Engineered Materials, Dielectrics and Plasmas
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- English for Technical Professionals
Mohammed M. Abdelsamea
Also published under:M. M. AbdelSamea
Affiliation
Department of Computer Science, University of Exeter, Exeter, U.K.
Topic
Deep Learning,Graph Convolutional Network,Convolutional Neural Network,Image Classification,Ability Of The Model,Active Learning,Active Learning Techniques,Advanced Spaceborne Thermal Emission,Anatomical Variations,Annotation Process,Atmospheric Noise,Attention Block,Attention Mechanism,Automatic Learning,Building Information Modelling,Building Regulations,Cause Of Cancer-related Mortality,Classification Task,Colorectal Cancer,Colorectal Cancer Dataset,Computer-aided Diagnosis,Convolutional Layers,Convolutional Network,Convolutional Neural Network Architecture,Decoder Layer,Decoding,Deep Convolutional Neural Network,Deep Learning Models,Deep Models,Deep Neural Network,Detection Of Colorectal Cancer,Diagnosis Of Colorectal Cancer,Dice Similarity Coefficient,Domain Experts,Earth’s Crust,Expert Feedback,Expert Review,F1 Score,Feature Aggregation,Feature Maps,Few-shot Learning,Final Output,Fine-tuned,Fine-tuning Process,Fingerprint,Global Map,High-level Features,Histogram Features,Histopathological Images,Hydrothermal Alteration,
Biography
Mohammed M. Abdelsamea received the Ph.D. degree (with Doctor Europaeus) in computer science and engineering from the IMT Institute for Advanced Studies, Lucca, Italy. He is currently a Senior Lecturer of computer science with the University of Exeter. Before joining the University of Exeter, he was an Assistant Professor of data and information science with the School of Computing and Digital Technology. He was with the School of Computer Science, Nottingham University, Mechanochemical Cell Biology, Warwick University, Nottingham Molecular Pathology Node (NMPN), and Division of Cancer and Stem Cells both at Nottingham Medical School, as a Research Fellow. In 2016, he was a Marie Curie Research Fellow with the School of Computer Science, Nottingham University. He is also a fellow with British Higher Education Academy. His research interests include computer vision including image processing, deep learning, data mining and machine learning, pattern recognition, and image analysis.