Zobrazeno 1 - 10
of 31
pro vyhledávání: '"S, Sabarunisha Begum"'
Autor:
Mohamed Yacin Sikkandar, Sankar Ganesh Sundaram, Ahmad Alassaf, Ibrahim AlMohimeed, Khalid Alhussaini, Adham Aleid, Salem Ali Alolayan, P. Ramkumar, Meshal Khalaf Almutairi, S. Sabarunisha Begum
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Polyp detection is a challenging task in the diagnosis of Colorectal Cancer (CRC), and it demands clinical expertise due to the diverse nature of polyps. The recent years have witnessed the development of automated polyp detection systems to
Externí odkaz:
https://doaj.org/article/12faaca63b514f9880d9d672e683475c
Autor:
Al Mazroa, Alanoud, Maashi, Mashael, Kouki, Fadoua, Othman, Kamal M., Salih, Nahla, Elfaki, Mohamed Ahmed, S, Sabarunisha Begum
Publikováno v:
In Journal of South American Earth Sciences 15 August 2024 142
Publikováno v:
In Journal of South American Earth Sciences February 2024 134
Autor:
Mohamed Yacin Sikkandar, Maryam M Alhashim, Ahmad Alassaf, Ibrahim AlMohimeed, Khalid Alhussaini, Adham Aleid, Murad J Almutairi, Salem H Alshammari, Yasser N Asiri, S Sabarunisha Begum
Publikováno v:
PLoS ONE, Vol 19, Iss 3, p e0300685 (2024)
Scoliosis is a medical condition in which a person's spine has an abnormal curvature and Cobb angle is a measurement used to evaluate the severity of a spinal curvature. Presently, automatic Existing Cobb angle measurement techniques require huge dat
Externí odkaz:
https://doaj.org/article/6569ffc34d514b6a89076516003597ac
Autor:
SHADY A. ALSHEWAIER, MAJED ALI GHURMALLAH ALSHEHRI, S. SABARUNISHA BEGUM, MOHAMED YACIN SIKKANDAR, ALI ABDULLAH A. ALMUKIL, AISHAH MOHAMMAD ALHAZMI
Publikováno v:
Journal of Mechanics in Medicine and Biology.
A customized knee implant numerical modeling using finite element analysis (FEA) during flexion extension has been investigated in this paper with varying loads with an objective of studying its kinematics. Computed tomography (CT) images of 15 osteo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e1b6d94f66cbac453405f10fff2a968
https://doi.org/10.1142/s021951942340016x
https://doi.org/10.1142/s021951942340016x
Autor:
Mohamed Yacin Sikkandar, Abdulaziz A. Alkathiry, Dilsad Manzar, Mashhor Shlwan N. Alotaibi, S. Sabarunisha Begum
Publikováno v:
Computers, Materials & Continua. 70:4279-4291
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18ca08f6ed5e5bf27e1f73d59f8ae7e6
https://doi.org/10.32604/cmc.2022.020571
https://doi.org/10.32604/cmc.2022.020571
Autor:
Mashhor Shlwan N. Alotaibi, Abdulaziz A. Alkathiry, Dilsad Manzar, S. Sabarunisha Begum, Mohamed Yacin Sikkandar
Publikováno v:
Computers, Materials & Continua. 71:51-69
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a675cb213e85cdb4199ca4f7187fdde
https://doi.org/10.32604/cmc.2022.019635
https://doi.org/10.32604/cmc.2022.019635
Publikováno v:
DESALINATION AND WATER TREATMENT. 197:67-75
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91ea0c0be52ffdc90f9b4af80e3848ee
https://doi.org/10.5004/dwt.2020.25971
https://doi.org/10.5004/dwt.2020.25971
Autor:
Arun Gupta, S. Sabarunisha Begum, Mohd Azmir Arifin, Syed Mahmood, Siti Nadiah binti Mohd Saffe, Chaitanya Reddy Chilakamarry, Mohamed Yacin Sikkandar, Boya Narasaiah
Publikováno v:
3 Biotech
Over recent years, keratin has gained great popularity due to its exceptional biocompatible and biodegradable nature. It has shown promising results in various industries like poultry, textile, agriculture, cosmetics, and pharmaceutical. Keratin is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e8773acf745b7121b6b495abdc5f03b
https://doi.org/10.1007/s13205-021-02734-7
https://doi.org/10.1007/s13205-021-02734-7
Autor:
Dilsad Manzar, Mohamed Yacin Sikkandar, Mashhor Shlwan N. Alotaibi, Mohamed Abdelkader Aboamer, S. Sabarunisha Begum, Abdulaziz A. Alkathiry
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing.
In this paper, a recent unsupervised segmentation algorithm based on computation of 2-dimensional (2D) local center of mass (LCM) technique is used to segment X-ray images of Knee Osteoarthritis (KOA) of various stages. Clinically, KOA is classified
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e079a28f4394ae738bcd67d7e418607
https://doi.org/10.1007/s12652-021-03053-8
https://doi.org/10.1007/s12652-021-03053-8