Mammogram breast mass classification using deep convolutional neural network / Mohd Nafie Maslan
The aim of this study is to investigate a deep convolutional neural network (DCNN) image classification technique to classify breast mass (i.e., benign or malignant) on mammogram image. DCNN architecture model of AlexNet, GoogLeNet and VGG-16 was compared to evaluate the performance of classifying b...
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Format: | Thesis |
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2022
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Online Access: | http://studentsrepo.um.edu.my/13614/1/Mohd_Nafie_Maslan.jpg http://studentsrepo.um.edu.my/13614/8/nafie.pdf http://studentsrepo.um.edu.my/13614/ |
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