Adaptasi Model CNN Terlatih pada Aplikasi Bergerak untuk Klasifikasi Citra Termal Payudara

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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Bibliographic Details
Main Authors: Roslidar Roslidar, Muhammad Rizky Syahputra, Rusdha Muharar, Fitri Arnia
Format: Article
Language:English
Published: Universitas Syiah Kuala 2022-09-01
Series:Jurnal Rekayasa Elektrika
Subjects:
deep learning
termografi
cnn
breast cancer
tensorflow lite
Online Access:https://jurnal.unsyiah.ac.id/JRE/article/view/8754
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https://jurnal.unsyiah.ac.id/JRE/article/view/8754

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