日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

A deep learning framework for automated early diagnosis and classification of skin cancer lesions in dermoscopy images

一种用于自动早期诊断和分类皮肤镜图像中皮肤癌病变的深度学习框架

Al-Waisy, Alaa S; Al-Fahdawi, Shumoos; Khalaf, Mohammed I; Mohammed, Mazin Abed; Al-Attar, Bourair; Al-Andoli, Mohammed Nasser

Retraction Note: COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images

撤稿声明:COVID-CheXNet:用于识别胸部X光片中COVID-19病毒的混合深度学习框架

Al-Waisy, Alaa S; Al-Fahdawi, Shumoos; Mohammed, Mazin Abed; Abdulkareem, Karrar Hameed; Mostafa, Salama A; Maashi, Mashael S; Arif, Muhammad; Garcia-Zapirain, Begonya

COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images

COVID-CheXNet:用于识别胸部X光片中COVID-19病毒的混合深度学习框架

Al-Waisy, Alaa S; Al-Fahdawi, Shumoos; Mohammed, Mazin Abed; Abdulkareem, Karrar Hameed; Mostafa, Salama A; Maashi, Mashael S; Arif, Muhammad; Garcia-Zapirain, Begonya

Assessing the utility and efficacy of e-OSCE among undergraduate medical students during the COVID-19 pandemic

评估新冠疫情期间电子客观结构化临床考试(e-OSCE)在本科医学生中的实用性和有效性

Shorbagi, Sarra; Sulaiman, Nabil; Hasswan, Ahmad; Kaouas, Mujtaba; Al-Dijani, Mona M; El-Hussein, Rania Adil; Daghistani, Mada Talal; Nugud, Shumoos; Guraya, Salman Yousuf

Correction to: Assessing the utility and efficacy of e-OSCE among undergraduate medical students during the COVID-19 pandemic

更正:评估新冠疫情期间本科医学生电子客观结构化临床考试(e-OSCE)的实用性和有效性

Shorbagi, Sarra; Sulaiman, Nabil; Hasswan, Ahmad; Kaouas, Mujtaba; Al-Dijani, Mona M; El-Hussein, Rania Adil; Daghistani, Mada Talal; Nugud, Shumoos; Guraya, Salman Yousuf

Identifying defective solar cells in electroluminescence images using deep feature representations

利用深度特征表示识别电致发光图像中的缺陷太阳能电池

Al-Waisy, Alaa S; Ibrahim, Dheyaa; Zebari, Dilovan Asaad; Hammadi, Shumoos; Mohammed, Hussam; Mohammed, Mazin Abed; Damaševičius, Robertas