An Automatic Detection and Localization of Mammographic Microcalcifications ROI with Multi-Scale Features Using the Radiomics Analysis Approach.

Mahmood, Tariq; Li, Jianqiang; Pei, Yan; Akhtar, Faheem; Imran, Azhar; Yaqub, Muhammad

Mahmood, Tariq; Li, Jianqiang; Pei, Yan; Akhtar, Faheem; Imran, Azhar; Yaqub, Muhammad.

Afiliación

Mahmood T; The School of Software Engineering, Beijing University of Technology, Beijing 100024, China.
Li J; Division of Science and Technology, University of Education, Lahore 54000, Pakistan.
Pei Y; The School of Software Engineering, Beijing University of Technology, Beijing 100024, China.
Akhtar F; Beijing Engineering Research Center for IoT Software and Systems, Beijing 100124, China.
Imran A; Computer Science Division, University of Aizu, Aizuwakamatsu 965-8580, Japan.
Yaqub M; Department of Computer Science, Sukkur IBA University, Sukkur 65200, Pakistan.

Cancers (Basel) ; 13(23)2021 Nov 24.

Article en En | MEDLINE | ID: mdl-34885026

Palabras clave

computer aided diagnosis; data-augmentation; microcalcification; radiomics approach; support vector machine

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Cancers (Basel) Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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