Adaptasi Model CNN Terlatih pada Aplikasi Bergerak untuk Klasifikasi Citra Termal Payudara
The model development for breast thermal image classification can be done using deep learning methods, especially the convolutional neural network (CNN) architecture. This article focuses on adapting a trained CNN (trained model) on a mobile application for binary classification of breast thermal im...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Syiah Kuala
2022-09-01
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| Series: | Jurnal Rekayasa Elektrika |
| Subjects: | |
| Online Access: | https://jurnal.unsyiah.ac.id/JRE/article/view/8754 |
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