Shafaf Ibrahim

Affiliation

College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

Topic

Convolutional Neural Network,Convolutional Layers,Deep Learning,Neural Network,Confusion Matrix,Image Segmentation,Support Vector Machine,Bounding Box,Data Augmentation,Deep Neural Network,Feature Maps,Machine Learning,Object Detection,Computed Tomography,Convolutional Network,Deep Learning Models,Dice Similarity Coefficient,F1 Score,Face Detection,Gray Level Co-occurrence Matrix,Grayscale Images,Image Processing,Input Image,Intersection Over Union,Magnetic Resonance Imaging,Medical Image Segmentation,Medical Imaging,Model Performance,Single Shot Multibox Detector,Training Dataset,Truth Table,U-Net Model,Waste Management,Accuracy Metrics,Action Labels,Adolescents,Air Pollution,Artificial Neural Network,Atrous Spatial Pyramid Pooling,Automatic Recognition,Automatic Scanning,Autonomous Vehicles,Average Performance,Average Precision,Bell’s Palsy,Brain Magnetic Resonance Imaging,Brain Tumor Segmentation,COVID-19,COVID-19 Detection,COVID-19 Lesions,

Biography

Shafaf Ibrahim is a third semester student of PhD in Science in University Technology MARA, Shah Alam, Malaysia. She holds a Master in Computer Science (2009) and a Bachelors Degree of Computer Science (2007), all from University Technology MARA. Her research interest covers Image Processing, Medical Imaging, Computer Vision, Artificial Intelligence and Swarm Intelligence.