Topic

Fazly Salleh Abas

Also published under:F. S. Abas, Fazly Saleh Abas, Fazly S. Abas

Affiliation

Faculty of Engineering and Technology, Multimedia University, Cyberjaya, Malaysia

Topic

Digital Pathology,Nuclei Segmentation,Breast Cancer,Deep Learning Models,Convolutional Neural Network,Deep Learning,Deep Models,Histopathological Images,Precision And Recall,Deep Neural Network,F1 Score,Intersection Over Union,Semantic Segmentation,Bounding Box,Chromogenic In Situ Hybridization,Computation Time,Convolutional Layers,Estrogen Receptor,Hematoxylin And Eosin,Hormone Therapy,Human Epidermal Growth Factor Receptor-2,Hybrid Model,Image Segmentation,Intensity Score,Neural Network,Nuclei Detection,Positive Nuclei,Segmentation Results,Training Set,Action Recognition,Action Recognition Task,Active Contour,Aggregate Data,Anchor Boxes,Bidirectional Long Short-term Memory,Blue Box,Blue Hue,Blue Signal,Bottleneck Layer,Boxplots,Breast Cancer Diagnosis,Cancer Diagnosis,Cancer Stage,Cell Nuclei,Cell Segmentation,Cellular Level,Color Images,Color Region,Convolutional Long Short-term Memory,Convolutional Network,

Biography

Fazly Salleh Abas received the B.S. degree in electronic and electrical engineering in 1999 from the University of Strathclyde, Glasgow, U.K. Currently with the School of Electronics and Computer Science, University of Southampton, where he is pursuing the Ph.D. degree in computer science.
His research interests include pattern recognition, computer vision, and content-based image retrieval.