Abstract: Among cerebrum tumors, gliomas are the most well-known what's more, forceful, prompting a short future in their most noteworthy review. In this way, treatment arranging is a key stage to ...

Abstract: The role image processing role is inevitable in the computer vision, robotics, agriculture, and medical field. This work proposes K-means clustering algorithm for the detection of leaf ...

This is an intro course in computer vision. It is intended for upper-level undergraduate students. Computer vision is an interdisciplinary field that deals with how computers can achieve high-level ...

Medical image analysis is of tremendous importance in serving clinical diagnosis, treatment planning, as well as prognosis assessment. However, the image analysis process usually involves multiple ...

The purpose is to explore the feature recognition, diagnosis, and forecasting performances of Semi-Supervised Support Vector Machines (S3VMs) for brain image fusion Digital Twins (DTs). Both unlabeled ...

This DR detection methodology has six steps: preprocessing, segmentation of blood vessels, segmentation of OD, detection of MAs and hemorrhages, feature extraction and classification. For segmentation ...

1 Department of Mathematics, Faculty of Science, Fayoum University, Fayoum, Egypt. 2 CS Department, College of Computers and Information Technology, Taif University, Taif, KSA. 3 Department of ...