WebMugahed A. Al-antari1,2 & Cam-Hao Hua1 & Jaehun Bang1 & Sungyoung Lee1 Accepted: 9 November 2024 # Springer Science+Business Media, LLC, part of Springer Nature 2024 ... M. A. Al-antari et al. The rest of this paper is organized as follows. A review of the relevant literature is presented in Section 2. The technical WebAapplied Intelligence Under consideration for publishing 2 Essential Title Page Information Manuscript Title: “Fast Deep Learning Computer-Aided Diagnosis against the Novel …

MCLSG:Multi-modal classification of lung disease and

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. 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 ). how many stories does the bible have

Diagnostics Free Full-Text Deep Active Learning for Automatic ...

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 … 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 … 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. how did the nazis keep control in germany