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ETHNOS_APP

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Manish Kumar Bajpai

Datos Biográficos

ID7952016
NOMBREManish Kumar Bajpai
NOMBRESManish Kumar
APELLIDOBajpai
FIRMABAJPAI M K
AFILIACIONESIndian Institute of Information Technology Design and Manufacturing Jabalpur
ORCID0000-0003-2258-2390
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2022
AÑO MÁS RECIENTE DE PUBLICACIÓN2022
ÍNDICE H0
  • Deep Learning Capabilities for the Categorization of Microcalcification

    Open Access•Koushlendra Kumar Singh, Suraj Kumar et al.•ARTICLE•International Journal of…•2022

    Breast cancer is the most common cancer in women worldwide. It is the most frequently diagnosed cancer among women in 140 countries out of 184 reporting countries. Lesions of breast cancer are abnormal areas in the breast tissues. Various types of breast cancer lesions include (1) microcalcifications, (2) masses, (3) architectural distortion, and (4) bilateral asymmetry. Microcalcification can be classified as benign, malignant, and benign withou…

Sin obras prominentes en esta página.

  • Deep Learning Capabilities for the Categorization of Microcalcification

    Open Access•Koushlendra Kumar Singh, Suraj Kumar et al.•ARTICLE•International Journal of…•2022

    Breast cancer is the most common cancer in women worldwide. It is the most frequently diagnosed cancer among women in 140 countries out of 184 reporting countries. Lesions of breast cancer are abnormal areas in the breast tissues. Various types of breast cancer lesions include (1) microcalcifications, (2) masses, (3) architectural distortion, and (4) bilateral asymmetry. Microcalcification can be classified as benign, malignant, and benign withou…

AI in cancer detection (1 obra) · Artificial Intelligence (1 obra) · Breast cancer (1 obra) · Cancer (1 obra) · Categorization (1 obra) · Computer Science (1 obra) · Convolutional neural network (1 obra) · Deep learning (1 obra) · Feature (linguistics (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