Mammogram breast cancer classification using Support Vector Machines (SVM) / Nur Syafiqah Sahrudin

Breast cancer is the one of the most cancer that frequents suffered by women nowadays, throughout the world. This diseases can be distinguish by do persistent clinical breast test and breast screening. Mammography images is the most effective and widely used method for detecting and screening the ab...

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Détails bibliographiques

Auteur principal:	Sahrudin, Nur Syafiqah
Format:	Thèse
Langue:	anglais
Publié:	2020
Sujets:	Neural networks (Computer science). Data processing Computer applications to medicine. Medical informatics Radiography. Mammography
Accès en ligne:	https://ir.uitm.edu.my/id/eprint/31592/1/31592.pdf