6 citations · 6 across the 3 of their papers we have counts for
4 papers
AI Radiologist: Revolutionizing Liver Tissue Segmentation with Convolutional Neural Networks and a Clinician-Friendly GUI
Ayman Al-Kababji, Faycal Bensaali, Sarada Prasad Dakua +1
Artificial Intelligence (AI) is a pervasive research topic, permeating various sectors and applications. In this study, we harness the power of AI, specifically convolutional neura…
Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau Vs OneCycleLR
Ayman Al-Kababji, Faycal Bensaali, Sarada Prasad Dakua
Machine learning and computer vision techniques have influenced many fields including the biomedical one. The aim of this paper is to investigate the important concept of scheduler…
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
Ayman Al-Kababji, Faycal Bensaali, Sarada Prasad Dakua +1
Machine learning and computer vision techniques have grown rapidly in recent years due to their automation, suitability, and ability to generate astounding results. Hence, in this…
HEMELB Acceleration and Visualization for Cerebral Aneurysms
Sahar Soheilian Esfahani, Xiaojun Zhai, Minsi Chen +7
A weakness in the wall of a cerebral artery causing a dilation or ballooning of the blood vessel is known as a cerebral aneurysm. Optimal treatment requires fast and accurate diagn…