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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Informasi dan Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jusikom: Jurnal Sistem Informasi Ilmu Komputer Journal of Computer Networks, Architecture and High Performance Computing Yayasan Cita Cendikiawan Al Khwarizmi Data Sciences Indonesia (DSI)
Mawaddah Harahap, Mawaddah
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Journal : Bulletin of Electrical Engineering and Informatics

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Skin cancer classification using EfficientNet architecture Harahap, Mawaddah; Husein, Amir Mahmud; Kwok, Shane Christian; Wizley, Vincent; Leonardi, Jocelyn; Ong, Derrick Kenji; Ginting, Deskianta; Silitonga, Benny Art
Bulletin of Electrical Engineering and Informatics Vol 13, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i4.7159

Abstract

Skin cancer is one of the most common deadly diseases worldwide. Hence, skin cancer classification is becoming increasingly important because treatment in the early stages of skin cancer is much more effective and efficient. This study focuses on the classification of three common types of skin cancer, namely basal cell carcinoma (BCC), squamous cell carcinoma (SCC), and melanoma using EfficientNet architecture. The dataset is preprocessed and each image in the dataset is resized to 256×256 pixels prior to incorporation in later stages. We then train all types of EfficientNet starting from EfficientNet-B0 to EfficientNet-B7 and compare their performances. Based on the test results, all trained EfficientNet models are capable of producing good accuracy, precision, recall, and F1-score in skin cancer classification. Particularly, our designed EfficientNet-B4 model achieves 79.69% accuracy, 81.67% precision, 76.56% recall, and 79.03% F1-score as the highest among others. These results confirm that EfficientNet architecture can be utilized to classify skin cancer properly.
Co-Authors Abdi Dharma Achmad Nurhadi Agung Prabowo Amir Husein Amir Mahmud Husein, Amir Mahmud Amir Saleh Andika, Ahmad Zaki Andro Eriel Tambun Angelina, Valencia Barti, Surya Batu Bara , Yacobus M.T. Celvin Chuanta, Roy Vidia Ciptady, Kalvintirta Damanik, Jansen Liharma Donpril, Meleyaki Duran, Filbert Evander, Oscar Fernandito, Peter Ginting, Deskianta Ginting, Kenjiro Christian Hadyanto, David Hendra Sihombing Hidayati, Namira Hulu, Yakin Rianto Husein , Amir Mahmud Hutagalung, Delano Ariesagita Ibadurrahman Ibadurrahman Indra, Evta Jefferson, Jefferson Jonvin, Jonvin Juliani, Fenny Kinoto, Jovan Kusuma, Leonardo Kuswulandari, Sri Kwok, Shane Christian Leonardi, Jocelyn Lubis, Abdul Rahman Malau, Johannes Rianto Marcel, Rico Milatrisna, Dwi Yunita Nababan, Siska Yanti Ndruru, Yonata Ong, Derrick Kenji Panjaitan, Sumiati Pasaribu, Alfeus P. S. Pasaribu, Samuel Henock Hasangapon Pratama, Ari Rizki Purba, Juniven Francisco Purba, Windania Putra, Adya Putra, Adya Zizwan Rozi, Fachrul Samosir, Suprianto Samuel Samuel Sembiring, Giovan Sihombing, Josua Parulian Sihombing, Juniati Silitonga, Benny Art Simangungsong, Tentus Natoka Simarmata, Allwin Sinaga, Dedy Ridoly Sipangkar, Romulus Siregar, Josua Siregar, Saut Dohot Siregar, Wali Siti Aisyah Situmeang, Candra Ebenezer Situmorang, Erwin Tri Saputra Suryani, Melva Syahmir Defha Tambunan, Enjelyna Turnip, Christi Andika waruwu , Februari Kurnia Wijaya, Adrian Christian Wijaya, Frederico William William Winata, Davin Wizley, Vincent Yennimar, Yennimar Yusniar Lubis Zakarias Situmorang Zizwan Putra, Adya