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- Computing and Processing
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- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
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- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
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Muhammad Arsalan
Affiliation
KINDI Center For Computing Research, Qatar University, Doha, Qatar
Topic
Convolutional Neural Network,Retinal Vessels,Trainable Parameters,Computer-aided Diagnosis,Convolutional Layers,Image Segmentation,Segmentation Accuracy,Segmentation Performance,Semantic Segmentation,Action Recognition,Age-related Macular Degeneration,Color Images,Dice Loss,Fully Convolutional Network,Fundus Images,Generative Adversarial Networks,Infrared Imaging,Medical Image Segmentation,Pixel Resolution,Retinal Blood Vessels,Retinal Images,Segmentation Map,Segmentation Method,Shallow Network,Vessel Segmentation,Additional Experiments,Application Programming Interface,Approaches In The Literature,Asymmetric Features,Background Subtraction Method,Binary Image,Blue Color,Blur Effect,Bottleneck Layer,Camera Pose,Chest X-ray,Class Imbalance,Color Conversion,Color Space,Contrast Agent,Contrast-enhanced Imaging,Convolution Output,Convolutional Block,Convolutional Network,Dark Environment,Decoder Block,Deep Features,Deep Learning,Deep Learning Models,Dense Connections,
Biography
Muhammad Arsalan (Graduate Student Member, IEEE) received the B.S. degree in computer engineering from COMSATS University Islamabad, Pakistan, in 2012, and the M.S. degree in computer science from the NCBA&E, Lahore, Pakistan, in 2016. He is currently pursuing the Ph.D. degree in electronics and electrical engineering with Dongguk University, Seoul, South Korea. His research interests include computer vision and deep learning. He helped to perform the experiments and analysis.