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Muhammad Fahri
Universitas Ibn Khaldun Bogor 
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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 Adzra Hasna Azzah Haura Ahmad Adil Ihsan Amirul Mu'minin Amran Anisa Jihan Annisa Ulatifah Aqilla Padya Hayya Ari Khairurrijal Fahmi Ayuni Nurkholifah Maulida Bambang Adit Permana Chaerul Rizky Clara Ditri Rulianti Dewi Anggrayni Dika Oktavia Dimas Agustiwa Dwi Gusti Ayu Dyah Mutiara Annisa Fitri Eddy Purwanto Eka Indah Raharjo Evi Nurtikasari Fadhilah Syafria Fazrin Firzinia Illahi Febi Yanto Fini Farrahatni H.M.Kholil Nawawi Halimatussa'diyah Arhani Hastiadi Hasan Heni Hernila Hidayah Baisa Ibnu Hajar Ikhwan Hamdani Imas Kania Rahman Indah Khoirunnisa Kafa Sakinah Kamal Hasuna Kamalludin Kamalludin Kartini Kartini Kasman , Rusdi Kholil Nawawi Latifah Hanani Harahap Lianur Istiqomah M. Dahlan R. M. Kholil Nawawi M. Kholil Nawawi Maemunah Sa’diyah Meisya Rawenda Mochamad Renaldi Muhamad Taufik Wahyudi Muhammad Gilvy Langgawan Putra Muhammad Iqbal Firdaus MUHAMMAD YUSUF Muhyani, Muhyani Nabila, Putri Nasution, Muhammad Irwan Padli Nasution, Nurul Ilmi Nenih Nurhayati Niya Yuliana Noerlita Sari Nur Azmi Laila NURHALIMAH Nuril Khofifah Turohmi Nurul Azzizah Panca Ruswana Rahmad Abdillah Rahmadanti Rahmadanti Rahmawati Suhadah Raihan Faturrahman Syahri Ralisya Shaqinah Alfajriah Rara Genta Munggarani Basri Reni Sinta Dewi Retno Triwoelandari Revi Khoeril Kholqillah Rikotul Kolbiyah Rizal Fahmi Nur Fauzi yasim Rizka Amalia Lukmana Rusdi Kasman Salati Asmahasanah SANTI LISNAWATI Santi Santi Silmi Siti Rabiatul Adawiyah Siti Anzani , Amalia Siti Nurasiyah Siti Nurmala Siti Nursinah Sofian Muhlisin Sri Nurul Milla Sri Sunarti Suhendra Suhendra Sulastri Ismail Bethan Sultan Al Fasya Sutisna Sutisna Suyadi Suyadi Syahrizal Bobby Anggara Syifa Rahmatunisa Syntia Maulani Rizki USWATUN HASANAH Witri Rahmawati Yono Yono Yono Yono Zafa Junarif