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Rahmad Abdillah
Teknik Informatika Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau
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Journal : Bulletin of Computer Science Research

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Perbandingan Akurasi Arsitektur EfficientNet-B0, VGG16, dan Inception V3 Dalam Deteksi Tumor Ginjal Pada Citra CT-Scan Muhammad Fahri; Yanto, Febi; Syafria, Fadhilah; Abdillah, Rahmad
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.670

Abstract

Kidney dysfunction can trigger the development of various diseases, including kidney tumors. Early detection of kidney tumors is very important to increase the effectiveness of treatment and the chances of patient recovery. The use of deep learning technology in medical image classification has become a promising approach, especially in detecting abnormalities in the kidney organ through CT-Scan images. This study compares the performance of three Convolutional Neural Network (CNN) architectures, namely EfficientNet-B0, Inception-V3, and VGG16, in detecting kidney tumors. The dataset used was obtained from the kaggle website, namely CT-scan images with normal and tumor classes and divided by a ratio of training  data and test data of 80:20. The hyperparameter used is Stochastic Gradient Descent (SGD) with a learning rate of 0.001 and 0.0001. The evaluation was carried out using a confusion matrix with metrics of accuracy, precision, recall, and F1-score . According to the test outcomes, the VGG16 model configured with a 0.001 learning rate achieved the highest classification performance, recording 99.46% accuracy, precision, recall, and F1-score.
Co-Authors Amni, Hudiyah Ardiansyah, Aan Benardo, Benardo Dian Ayu Juwita Dwi Afrianti, Rezy Dwisari Dillasamola Elvia Budianita Fadhilah Syafria Fatma Sri Wahyuni Febi Yanto Fernando, Yendri Ikhlas Fitri Insani Harni, Yulia Iis Afrianty Julmiza, Adinny Meliani, Meliani Muhammad Fahri Najwa, Nina Fadilah Okfalisa Okfalisa Pasiolo, Lugas Pizaini Pizaini Putri, Adilah Atikah Rachmaini, Fitri Rahmi Yosmar Reski Mai Candra Rifqi, Melvi Auliya Simaremare, Harris Simaremare Srangenge, Yoneta Surya Agustian Suwanto Sanjaya Yufri Aldi