Mugahed a. al-antari researchgate

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August undefined, 2024

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, … Web28 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 …

Evaluation of deep learning detection and classification towards ...

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 … WebAU - Al-masni, Mohammed A. AU - Al-antari, Mugahed A. AU - Choi, Mun Taek. AU - Han, Seung Moo. AU - Kim, Tae Seong. N1 - Funding Information: This work was supported by International Collaborative Research and Development Programme (funded by the Ministry of Trade, Industry and Energy (MOTIE, Korea) ( N0002252 ). techcon ts16-60

"Fast deep learning computer-aided diagnosis of COVID-19 based …

WebA novel MCLSG framework is proposed for diagnosing multiple lung disease with severity grading. • Multi-modal deep features are extracted using an adopted CNN model. WebMugahed 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 Web14 apr. 2024 · PDF Citation: Anaam, A.; Al-antari, M.; Hussain, J.; Abdel Samee, N.; Alabdulhafith, M.; Gofuku, A. Deep Abstract: Identifying Human Epithelial Type 2... Find ... tech controls inc

Mugahed a. al-antari researchgate

“Fast deep learning computer-aided diagnosis of COVID-19 based …

WebAapplied Intelligence Under consideration for publishing 2 Essential Title Page Information Manuscript Title: “Fast Deep Learning Computer-Aided Diagnosis against the Novel … WebMohammed A Al-Masni 1 , Mugahed A Al-Antari 2 , Jeong-Min Park 3 , Geon Gi 4 , Tae-Yeon Kim 5 , Patricio Rivera 6 , Edwin Valarezo 7 , Mun-Taek Choi 8 , Seung-Moo Han 9 , Tae-Seong Kim 10 Affiliations 1 Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Yongin, Republic of Korea. Electronic ...

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http://uclab.khu.ac.kr/resources/publication/J_280.pdf Webo (May 2024 – Feb. 2024) Post-Doctoral Researcher, Department of Computer Science and Engineering, Kyung Hee University University, Republic of Korea. o (March 2024 – …

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, … Web目的:对中药方剂治疗慢性病毒性肝炎肝纤维化的有效性进行评价.方法:检索35年内文献(截止2011年).将复方中药与对照组(抗病毒或保肝药)的随机临床试验纳入本研究.制定文献纳入标准和文献排除标准.采用Cochrane系统评价员手册和Jadad质量记分法对文献进行质量评价.分析指标为计数资料,用相对危险度 ...

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. WebIntroduction: Pneumonia is a microorganism infection that causes chronic inflammation of the human lung cells. Chest X-ray imaging is the most well-known screening approach used for detecting pneumonia in the early stages. While chest-Xray images are mostly blurry with low illumination, a strong feature extraction approach is required for promising …

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.

Web1 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 … tech con trenching johnson city txWebNoha 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 … sparkle in cortland ohioWebresearcher ORCID ID = 0000-0002-4457-4407. Mugahed A Al-Antari Q61165725) techcon ts110cWebAl-masni MA, Al-antari MA, Park JM, Gi G, Kim TY, Rivera P et al. Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system. Computer Methods and Programs in Biomedicine . 2024 Apr;157:85-94. doi: 10.1016/j.cmpb.2024.01.017 techcon ts500rWeb1 mai 2024 · [6] Al-antari Mugahed A., Al-masni Mohammed A. et al 2024 A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification[J] International Journal of Medical Informatics. 117 44-54. Google Scholar sparkle interactiveWebORIGINAL 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 sparkle in the eyeWebMugahed 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 … techcon ts600 cartridge