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ETHNOS_APP

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Sahar Arooj

Datos Biográficos

ID10024337
NOMBRESahar Arooj
NOMBRESSahar
APELLIDOArooj
FIRMAAROOJ S
AFILIACIONESRiphah International University
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2022
AÑO MÁS RECIENTE DE PUBLICACIÓN2022
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…

Sin obras prominentes en esta página.

  • 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 • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae