Zobrazeno 1 - 10 of 74 pro vyhledávání: '"M Anter"'
1
Akademický článek
A novel machine learning-based feature extraction method for classifying intracranial hemorrhage computed tomography images
Autor: Santwana Gudadhe, Anuradha Thakare, Ahmed M. Anter
Publikováno v: Healthcare Analytics, Vol 3, Iss , Pp 100196- (2023)
One of the most serious forms of brain stroke is intracranial hemorrhage (ICH). When an artery bursts, the brain and the tissue around the artery start bleeding. This study proposes a joint feature selection strategy to classify computed tomography (
Externí odkaz: https://doaj.org/article/ed340a9d6fb64569b49cde141d9782e2
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2
Akademický článek
A Deep Batch Normalized Convolution Approach for Improving COVID-19 Detection from Chest X-ray Images
Autor: Ibrahim Al-Shourbaji, Pramod H. Kachare, Laith Abualigah, Mohammed E. Abdelhag, Bushra Elnaim, Ahmed M. Anter, Amir H. Gandomi
Publikováno v: Pathogens, Vol 12, Iss 1, p 17 (2022)
Pre-trained machine learning models have recently been widely used to detect COVID-19 automatically from X-ray images. Although these models can selectively retrain their layers for the desired task, the output remains biased due to the massive numbe
Externí odkaz: https://doaj.org/article/77ccde86515240388b0c3eb195baf7cb
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7
Akademický článek
Designing individual-specific and trial-specific models to accurately predict the intensity of nociceptive pain from single-trial fMRI responses
Autor: Qianqian Lin, Gan Huang, Linling Li, Li Zhang, Zhen Liang, Ahmed M. Anter, Zhiguo Zhang
Publikováno v: NeuroImage, Vol 225, Iss , Pp 117506- (2021)
Using machine learning to predict the intensity of pain from fMRI has attracted rapidly increasing interests. However, due to remarkable inter- and intra-individual variabilities in pain responses, the performance of existing fMRI-based pain predicti
Externí odkaz: https://doaj.org/article/9ad8f95f6e03425fa14a7c7b39c4ade7
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9
Akademický článek
Macroscopic Cerebral Tumor Growth Modeling From Medical Images: A Review
Autor: Ahmed Elazab, Yousry M. Abdulazeem, Ahmed M. Anter, Qingmao Hu, Tianfu Wang, Baiying Lei
Publikováno v: IEEE Access, Vol 6, Pp 30663-30679 (2018)
Mathematical models have been ubiquitously employed in various applications. One of these applications that arose in the past few decades is cerebral tumor growth modeling. Simultaneously, medical imaging techniques, such as magnetic resonance imagin
Externí odkaz: https://doaj.org/article/5f078a531eb94f1db3303c36a47d0156
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10
Akademický článek
Boosting Arithmetic Optimization Algorithm with Genetic Algorithm Operators for Feature Selection: Case Study on Cox Proportional Hazards Model
Autor: Ahmed A. Ewees, Mohammed A. A. Al-qaness, Laith Abualigah, Diego Oliva, Zakariya Yahya Algamal, Ahmed M. Anter, Rehab Ali Ibrahim, Rania M. Ghoniem, Mohamed Abd Elaziz
Publikováno v: Mathematics, Vol 9, Iss 18, p 2321 (2021)
Feature selection is a well-known prepossessing procedure, and it is considered a challenging problem in many domains, such as data mining, text mining, medicine, biology, public health, image processing, data clustering, and others. This paper propo
Externí odkaz: https://doaj.org/article/e4817783df9c45a99b3cd79d1f3eb5dc
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