Analysis of Morphological Features of Benign and Malignant Breast Cell Extracted From FNAC Microscopic Image Using the Pearsonian System of Curves.

Rajbongshi, Nijara; Bora, Kangkana; Nath, Dilip C; Das, Anup K; Mahanta, Lipi B

Rajbongshi, Nijara; Bora, Kangkana; Nath, Dilip C; Das, Anup K; Mahanta, Lipi B.

Afiliação

Rajbongshi N; Central Computational and Numerical Studies, Institute of Advanced Study in Science and Technology, Guwahati, Assam, India.
Bora K; Central Computational and Numerical Studies, Institute of Advanced Study in Science and Technology, Guwahati, Assam, India.
Nath DC; Department of Statistics, Gauhati University, Guwahati, Assam, India.
Das AK; Ayursundra Healthcare Pvt. Ltd., Guwahati, Assam, India.
Mahanta LB; Central Computational and Numerical Studies, Institute of Advanced Study in Science and Technology, Guwahati, Assam, India.

J Cytol ; 35(2): 99-104, 2018.

Article em En | MEDLINE | ID: mdl-29643657

Palavras-chave

Breast cell; FNAC; Pearsonian system; image processing

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Cytol Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Índia País de publicação: Índia

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