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

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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Bibliographic Details
Main Author: Sahrudin, Nur Syafiqah
Format: Thesis
Language:English
Published: 2020
Subjects:
Neural networks (Computer science). Data processing
Computer applications to medicine. Medical informatics
Radiography. Mammography
Online Access:http://ir.uitm.edu.my/id/eprint/31592/1/31592.pdf
http://ir.uitm.edu.my/id/eprint/31592/
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Institution: Universiti Teknologi Mara
Language: English

Internet

http://ir.uitm.edu.my/id/eprint/31592/1/31592.pdf
http://ir.uitm.edu.my/id/eprint/31592/

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