Mugahed a. al-antari researchgate

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August undefined, 2024

Web肝纤维化是肝脏损伤后不完全恢复所致的慢性肝病的终末期.肝细胞损伤和炎症导致正常肝结构破坏、胶原沉积.肝星状细胞(hepatic stellate cells,HSC)激活,转化为肝脏肌成纤维细胞(myofibroblast,MFB)是肝纤维化发生的关键步骤.从细胞培养和动物模型的研究中发现由众多细胞因子、生长因子和激 http://uclab.khu.ac.kr/resources/publication/J_280.pdf

Evaluation of deep learning detection and classification towards ...

Webresearcher ORCID ID = 0000-0002-4457-4407. Mugahed A Al-Antari Q61165725) WebIn this chapter, a completely integrated CAD system based on deep learning is presented to diagnose breast lesions from digital X-ray mammograms involving detection, … cedarwood bed and breakfast

Mugahed A. Al-antari, Ph.D. - Assistant Professor

WebMugahed A Al-Antari 1 2 , Cam-Hao Hua 1 , Jaehun Bang 1 , Sungyoung Lee 1 Affiliations 1 Department of Computer Science and Engineering, College of Software, Kyung Hee … Web18 nov. 2024 · Riyadh M Al-Tam 1 , Aymen M Al-Hejri 1 , Sachin M Narangale 2 , Nagwan Abdel Samee 3 , Noha F Mahmoud 4 , Mohammed A Al-Masni 5 , Mugahed A Al-Antari 5 Affiliations 1 School of Computational Sciences, Swami Ramanand Teerth Marathwada University, Nanded 431606, Maharashtra, India. WebMugahed A. Al-antari received his Ph.D. in Biomedical Engineering under the supervision of Prof. Tae-Seong Kim and Co-supervisor Prof. Seung … cedarwood benefits study

An Automatic Computer-Aided Diagnosis System for Breast …

Mugahed A. AL-ANTARI Professor (Assistant)

WebMugahed A. Al-antari is on Facebook. Join Facebook to connect with Mugahed A. Al-antari and others you may know. Facebook gives people the power to share and makes the world more open and connected. cedarwood bedroom furnitureWeb28 nov. 2024 · A simultaneous deep learning computer-aided diagnosis (CAD) system based on the YOLO predictor that can detect and diagnose COVID-19, differentiating it from eight other respiratory diseases: atelectasis, infiltration, pneumothorax, masses, effusion, pneumonia, cardiomegaly, and nodules. Coronavirus disease 2024 (COVID-19) is a … cedarwood benefits oil

"WebDynamic Model for Hepatic Fibrosis in Hepatitis C Patient: System Dynamics. Mugahed A. Al-antari, Mohammed A. Almasani, Khaled K. Wahba. Hepatitis C virus (HCV) is the most common chronic disease in all world society. It is often a silent disease and causing no symptoms until much of the liver has been damaged. " - Mugahed a. al-antari researchgate

Mugahed a. al-antari researchgate

Mugahed A. Al-antari — Sejong University

WebNoha F. Mahmoud 4, Mohammed A. Al-masni 5 and Mugahed A. Al-antari 5,* 1 School of Computational Sciences, Swami Ramanand Teerth Marathwada University, Nanded … WebComput. Methods Programs Biomed. 162: 221-231 ( 2024) [j1] Mugahed A. Al-antari, Mohammed A. Al-masni, Mun-Taek Choi, Seung-Moo Han, Tae-Seong Kim: A fully …

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WebMugahed A Al-Antari 1 , Seung-Moo Han 2 , Tae-Seong Kim 3 Affiliations 1 Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, … WebAl-antari, MA, Han, SM & Kim, TS 2024, ' Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms ', Computer Methods and Programs in Biomedicine, vol. 196, 105584.

WebAbdullah Yahya Mohammed Muaad. Amel A. Alhussan. Cam-Hao Hua Web23 nov. 2013 · Biography. Mugahed A. Al-antari is an assistant professor in the Department of Artificial Intelligence (AI) at Sejong University, Republic of Korea. Al-antari received …

WebDynamic Model for Hepatic Fibrosis in Hepatitis C Patient: System Dynamics. Mugahed A. Al-antari, Mohammed A. Almasani, Khaled K. Wahba. Hepatitis C virus (HCV) is the … Web12 feb. 2024 · Mugahed A. Al-Antari Daeyang AI Center, Department of Artiﬁcial Intelligence, College of Software & Convergence Technology, Sejong University, Seoul 05006, Republic of Korea; [email protected] We would like to express our gratitude to all authors who contributed to the Special

WebDue to the shortcomings of the large data and time consuming in the conventional image mosaic algorithms, an improved algorithm based on Speeded-up Robust …

WebMugahed A. Al-antari is an assistant professor in the Department of Artificial Intelligence (AI) at Sejong University, Republic of Korea. Al-antari received his Ph.D. from … buttons wiredWeb1 Read. View all. Mugahed A. Al-antari is an assistant professor in the Department of Artificial Intelligence (AI) at Sejong University, Republic of Korea. Al-antari received his … button switch angularWebMugahed A. Al-antari (Ph.D.) Assistant Professor, Department of Artificial Intelligence, Sejong University, Seoul, Korea Verified email at sejong.ac.kr Tae-Seong Kim, Ph.D. Professor of Biomedical Engineering, Kyung Hee University Verified email at khu.ac.kr button switch pencilWebORIGINAL ARTICLE An Automatic Computer-Aided Diagnosis System for Breast Cancer in Digital Mammograms via Deep Belief Network Mugahed A. Al-antari1 • Mohammed A. Al-masni1 • Sung-Un Park1 • JunHyeok Park1 • Mohamed K. Metwally1 • Yasser M. Kadah2 • Seung-Moo Han1 • Tae-Seong Kim1 Received: 28 November 2016/Accepted: 31 May 2024 buttons wireless headphonesWebo (May 2024 – Feb. 2024) Post-Doctoral Researcher, Department of Computer Science and Engineering, Kyung Hee University University, Republic of Korea. o (March 2024 – … cedarwood birminghamWeb14 apr. 2024 · Anaam A, Al-antari MA, Hussain J, Samee NA, Alabdulhafith M, Gofuku A. Deep Active Learning for Automatic Mitotic Cell Detection on HEp-2 Specimen Medical Images. ... Anaam, Asaad, Mugahed A. Al-antari, Jamil Hussain, Nagwan Abdel Samee, Maali Alabdulhafith, and Akio Gofuku. 2024. "Deep Active Learning for Automatic Mitotic … cedarwood bergamot essential oil sandalwoodWebMugahed A. Al-antari and Mohammed A. Al-masni contributed equally with all other contributors. M. A. Al-antari Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Yongin, Republic of Korea Department of Biomedical Engineering, Sana’a Community College, Sana’a, Republic of Yemen button switch html