Abdullah F. Al-Battal

Deep Learning,Dice Similarity Coefficient,Medical Imaging,Object Detection,Precision And Recall,Average Precision,Binary Cross-entropy Loss,Bounding Box,Convolutional Neural Network,Depth Level,Dice Loss,High Precision,Intersection Over Union,Loss Function,Scanning Session,Segmentation Model,Stage 2,Stage Of Network,Target Object,Training Set,Adaptive Control,Augmentation Methods,Average Recall,Backbone Network,Binary Cross Entropy,Block Matching,Comparative Analysis Of Methods,Comparative Empirical Studies,Compound Loss Function,Contribution Of Loss,Cross-entropy Loss,Current Scan,Data Augmentation,Data Augmentation Methods,Dataset Size,Deep Learning Models,Deep Neural Network,Detection Performance,Diagnostic Procedures,Empirical Risk,F1 Score,False Negative,False Negative Rate,False Positive,Feature Maps,Flow Map,Geometric Transformation,Graphics Processing Unit,Histogram Of Oriented Gradients,Hyperparameter Tuning,