Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Abathar Qahtan Aladi"'
Publikováno v:
مجلة النهرين للعلوم الهندسية, Vol 26, Iss 4 (2024)
Recent research has focused on analysing megakaryocyte images to extract the information needed to track the progression of nervous system diseases. Segmentation is a fundamental step in describing and analysing the core contents of megakaryocytes, i
Externí odkaz:
https://doaj.org/article/fb4e9ba605bd4437a65664612bf96d76
Publikováno v:
International Journal of Online and Biomedical Engineering (iJOE). 18:127-142
Musculoskeletal models endow an opportunity to study the movement of the upper limb in vivo. The solid foundation of musculoskeletal model design is inherited from musculoskeletal parameters. Some of these parameters are tendon and muscle fiber lengt
Autor:
Shaima Ibraheem Jabbar, Hasan Shakir Majdi, Safa Isam Hakeem, Anas Abduladheem Altaee, Mohammmed Hashim Mohammmed, Abathar Qahtan Aladi
Publikováno v:
2022 Muthanna International Conference on Engineering Science and Technology (MICEST).
Publikováno v:
PROCEEDING OF THE 1ST INTERNATIONAL CONFERENCE ON ADVANCED RESEARCH IN PURE AND APPLIED SCIENCE (ICARPAS2021): Third Annual Conference of Al-Muthanna University/College of Science.
Publikováno v:
2021 International Conference on Communication & Information Technology (ICICT).
The video ultrasound imaging is one of the techniques that is in demand at the present time. The reason of using ultrasound video is to provide a clearer impression of the organ's details or any area in the body to a specialist. Therefore, automated
Publikováno v:
2021 1st Babylon International Conference on Information Technology and Science (BICITS).
The early detection and management can promote a healthful outcome of the stroke’s patient. Unfortunately, time management has not organized to fit all acute stroke patient care pathway. So, many of these patients are likely to acquire needles brai
Publikováno v:
2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT).
Objects recognition of the Magnetic Resonance Imaging (MRI) is a powerful tool in the detection of the geometric parameters such as area and perimeter. When outlining the border of an object, it is hard to calculate the area when it has irrelevant de
Publikováno v:
2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT).
Contrast enhancement of the Magnetic Resonance Imaging (MRI) videos is a powerful tool that helps to illustrate different essential details. In this work, a new automated video contrast enhancement method was introduced and was applied on the cardiac