Klasifikasi Subtipe Leukemia Limfoblastik Akut (LLA) pada Citra Mikroskopis Sel Darah Menggunakan Arsitektur EfficientNet-B3 dengan Dataset Seimbang
Main Article Content
Acute Lymphoblastic Leukemia (ALL) is one of the most common types of blood cancer that affects children and requires fast and accurate diagnosis. This study proposes a classification model for subtypes of acute lymphoblastic leukemia (ALL) based on microscopic blood cell images using the EfficientNet-B3 architecture. With a transfer learning approach and a balanced dataset, the model achieves a testing accuracy of 97.50% and an average F1-Score of 0.97. Overall, the macro average and weighted average values show consistent results, with precision and recall of 0.98 and an F1-Score of 0.97. This indicates that the model excels not only in one or two classes but demonstrates uniform performance across all classes, making it a robust classification tool for automatic leukemia diagnosis applications.
Keywords:
acute lymphoblastic leukemia, image classification, EfficientNet-B3, deep learning, transfer learning
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Prajapati, M., Baliarsingh, S. K., Hota, J., Dev, P. P., & Das, S. (2024). Deteksi dan Klasifikasi Citra Kanker Darah Menggunakan Metode Convolutional Neural Network (CNN). Lecture Notes in Electrical Engineering, 7(4), 159–165. https://doi.org/10.1007/978-981-99-7077-3_16
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Rizki Firdaus Mulya, Ema Utami, & Dhani Ariatmanto. (2023). Classification of Acute Lymphoblastic Leukemia based on White Blood Cell Images using InceptionV3 Model. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 7(4), 947–952. https://doi.org/10.29207/resti.v7i4.5182
Akbar, M., Prasetyaningrum, P. T., Setyaningsih, P. W., Ahsan, M., & Budianto, A. E. (2024). Deteksi Leukemia Limfoblastik Akut menggunakan Convolutional Neural Network. Jurnal Teknologi Sistem Informasi Dan Aplikasi, 7(1), 292–297. https://doi.org/10.32493/jtsi.v7i1.34168
Andre, R., Wahyu, B., & Purbaningtyas, R. (2021). Klasifikasi Tumor Otak Menggunakan Convolutional Neural Network Dengan Arsitektur Efficientnet-B3. Jurnal IT, 11(3), 55–59.
Anggiratih, E., Siswanti, S., Octaviani, S. K., & Sari, A. (2021). Klasifikasi Penyakit Tanaman Padi Menggunakan Model Deep Learning Efficientnet B3 dengan Transfer Learning. Jurnal Ilmiah SINUS, 19(1), 75. https://doi.org/10.30646/sinus.v19i1.526
Archive (1). (2021).
Claro, M., Vogado, L., Veras, R., Santana, A., Tavares, J., Santos, J., & MacHado, V. (2020). Convolution Neural Network Models for Acute Leukemia Diagnosis. International Conference on Systems, Signals, and Image Processing, 2020-July, 63–68. https://doi.org/10.1109/IWSSIP48289.2020.9145406
DOI: http://dx.doi.org/10.33846/sf15340 Pemberian Air Susu Ibu Eksklusif untuk Memperkuat Sistem Imun terhadap Risiko Kejadian Leukemia Limfoblastik Akut pada Anak Lucy Nuryudha Ramadhani. (2024). Jurnal Penelitian Kesehatan Suara Forikes, 15(September), 538–542. https://doi.org/http://dx.doi.org/10.33846/sf15340
Erlangga, A. A. G. W. S., Gunadi, I. G. A., & Sunarya, I. M. G. (2024). Kombinasi Oversampling dan Undersampling dalam Menangani Class Imbalanced dan Overlapping pada Klasifikasi Data Bank Marketing. Jurnal RESISTOR (Rekayasa Sistem Komputer), 7(1), 32–42. https://doi.org/10.31598/jurnalresistor.v7i1.1515
Fajrina, A. N., Pradana, Z. H., Purnama, S. I., & Romadhona, S. (2024). Penerapan Arsitektur EfficientNet-B0 Pada Klasifikasi Leukimia Tipe Acute Lymphoblastik Leukimia. Jurnal Riset Rekayasa Elektro, 6(1), 59–68. https://doi.org/10.30595/jrre.v6i1.22090
Ferlay, J., Colombet, M., Soerjomataram, I., Parkin, D. M., Piñeros, M., Znaor, A., & Bray, F. (2021). Cancer statistics for the year 2020: An overview. International Journal of Cancer, 149(4), 778–789. https://doi.org/10.1002/ijc.33588
Gori, T., Sunyoto, A., & Al Fatta, H. (2024). Preprocessing Data dan Klasifikasi untuk Prediksi Kinerja Akademik Siswa. Jurnal Teknologi Informasi Dan Ilmu Komputer, 11(1), 215–224. https://doi.org/10.25126/jtiik.20241118074
Istiqomah, H., Purwono, P., & Ardianto, R. (2024). Prediksi Kanker Darah Menggunakan Metode Convolutional Neural Network. Jurnal Ilmu Komputer Dan Informatika, 4(1), 51–60. https://doi.org/10.54082/jiki.156
Kumar, D., Jain, N., Khurana, A., Mittal, S., Satapathy, S. C., Senkerik, R., & Hemanth, J. D. (2020). Automatic Detection of White Blood Cancer from Bone Marrow Microscopic Images Using Convolutional Neural Networks. IEEE Access, 8, 142521–142531. https://doi.org/10.1109/ACCESS.2020.3012292
Kumar, S., & Qureshi, H. A. (2025). Transforming Pediatric Leukemia Care?: The Role of Artificial Intelligence in Diagnosing , Treating , and Optimizing Outcomes in Acute Lymphoblastic Leukemia. Journal of Development and Social Sciences, 6(1), 348–363. https://doi.org/https://doi.org/10.47205/jdss.2025(6-I)31
Kurniadi, D., Shidiq, R. M., & Mulyani, A. (2025). Perbandingan Penggunaan Optimizer dalam Klasifikasi Sel Darah Putih Menggunakan Convolutional Neural Network. 14(1), 77–86. https://doi.org/10.22146/jnteti.v14i1.17162
Milyun Ni’ma Shoumi, Radian Malek Rayrendra, Dwi Puspitasari, & Pramana Yoga Saputra. (2023). Plasma Cell Detection in Multiple Myeloma Cases Using Mask Region Based Convolutional Neural Network Method (Mask R-CNN). Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI), 12(1), 156–163. https://doi.org/10.23887/janapati.v12i1.53119
Perveen, S., Alourani, A., Shahbaz, M., Ashraf, M. U., & Hamid, I. (2024). A Framework for Early Detection of Acute Lymphoblastic Leukemia and Its Subtypes From Peripheral Blood Smear Images Using Deep Ensemble Learning Technique. IEEE Access, 12, 29252–29268. https://doi.org/10.1109/ACCESS.2024.3368031
Prajapati, M., Baliarsingh, S. K., Hota, J., Dev, P. P., & Das, S. (2024). Deteksi dan Klasifikasi Citra Kanker Darah Menggunakan Metode Convolutional Neural Network (CNN). Lecture Notes in Electrical Engineering, 7(4), 159–165. https://doi.org/10.1007/978-981-99-7077-3_16
Revanda, A. R., Fatichah, C., & Suciati, N. (2022). Classification of Acute Lymphoblastic Leukemia on White Blood Cell Microscopy Images Based on Instance Segmentation Using Mask R-CNN. International Journal of Intelligent Engineering and Systems, 15(5), 625–637. https://doi.org/10.22266/ijies2022.1031.54
Rizki Firdaus Mulya, Ema Utami, & Dhani Ariatmanto. (2023). Classification of Acute Lymphoblastic Leukemia based on White Blood Cell Images using InceptionV3 Model. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 7(4), 947–952. https://doi.org/10.29207/resti.v7i4.5182
