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ETHNOS_APP

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Manish Kumar Bajpai

Dados Biográficos

ID7952016
NOMEManish Kumar Bajpai
PRENOMESManish Kumar
SOBRENOMEBajpai
ASSINATURABAJPAI M K
AFILIAÇÕESIndian Institute of Information Technology Design and Manufacturing Jabalpur
ORCID0000-0003-2258-2390
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2022
ANO MAIS RECENTE DE PUBLICAÇÃO2022
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…

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  • 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 • 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