Publications by authors named "Ayman Al Falou"
Article Synopsis
- * This study introduces a method using convolutional neural networks (CNN) with a Siamese architecture to help cytogeneticists identify SCAs by comparing pairs of chromosomes, focusing on deletions like del(5q) and difficult inversions like inv(3).
- * The proposed models, particularly Xception and InceptionResNetV2, showed high accuracy in detecting these abnormalities, achieving over 97% F-scores for deletions and 94.82% for inversions, with the code available for public access.
Over the past few decades, interest in theories and algorithms for face recognition has been growing rapidly. Video surveillance, criminal identification, building access control, and unmanned and autonomous vehicles are just a few examples of concrete applications that are gaining attraction among industries. Various techniques are being developed including local, holistic, and hybrid approaches, which provide a face image description using only a few face image features or the whole facial features.
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