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ETHNOS_APP

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Sahar Arooj

Dados Biográficos

ID10024337
NOMESahar Arooj
PRENOMESSahar
SOBRENOMEArooj
ASSINATURAAROOJ S
AFILIAÇÕESRiphah International University
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2022
ANO MAIS RECENTE DE PUBLICAÇÃO2022
ÍNDICE H0
  • Breast Cancer Detection and Classification Empowered With Transfer Learning

    Open Access•Sahar Arooj, Atta-ur-Rahman Atta-ur-Rahman et al.•ARTICLE•Frontiers in Public Health•2022

    Cancer is a major public health issue in the modern world. Breast cancer is a type of cancer that starts in the breast and spreads to other parts of the body. One of the most common types of cancer that kill women is breast cancer. When cells become uncontrollably large, cancer develops. There are various types of breast cancer. The proposed model discussed benign and malignant breast cancer. In computer-aided diagnosis systems, the identificatio…

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  • Breast Cancer Detection and Classification Empowered With Transfer Learning

    Open Access•Sahar Arooj, Atta-ur-Rahman Atta-ur-Rahman et al.•ARTICLE•Frontiers in Public Health•2022

    Cancer is a major public health issue in the modern world. Breast cancer is a type of cancer that starts in the breast and spreads to other parts of the body. One of the most common types of cancer that kill women is breast cancer. When cells become uncontrollably large, cancer develops. There are various types of breast cancer. The proposed model discussed benign and malignant breast cancer. In computer-aided diagnosis systems, the identificatio…

AI in cancer detection (1 obra) · Artificial Intelligence (1 obra) · Breast cancer (1 obra) · Cancer (1 obra) · Categorization (1 obra) · Computer Science (1 obra) · Deep learning (1 obra) · Digital Imaging for Blood Diseases (1 obra) · Internal Medicine (1 obra) · Machine learning (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae