Skin Cancer Classification Using Random Forest Algorithm
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Adjed, F., Faye, I., Ababsa, F., Gardezi, S. J., & Dass, S. C. (2016). Classification of Skin Cancer Images Using Local Binary Pattern and SVM Classifier. AIP Conference Proceedings, 1787. https://doi.org/10.1063/1.4968145
Buljan, M., Bulat, V., Situm, M., Mihic, L. L., & Stanic, S. (2008). Variation in Clinical Presentation of Basal Cell Carcinoma. Acta Clin Croat, 47(1), 25–30.
Faruk, M., & Nafi’iyah, N. (2020). Klasifikasi Kanker Kulit Berdasarkan Fitur Tekstur, Fitur Warna Citra Menggunakan SVM dan KNN. Telematika, 13(2), 100–109.
Fibrianda, M. F., & Bhawiyuga, A. (2018). Analisis Perbandingan Akurasi Deteksi Serangan Pada Jaringan Komputer Dengan Metode Naïve Bayes Dan Support Vector Machine (SVM). Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 2(9), 3112–3123.
Firasari, E., Khasanah, N., Khultsum, U., Kholifah, D. N., Komarudin, R., & Widyastuty, W. (2020). Comparation of K-Nearest Neighboor (K-NN) and Naive Bayes Algorithm for the Classification of the Poor in Recipients of Social Assistance. Journal of Physics: Conference Series, 1641(1), 1–6.
Iyatomi, H., Celebi, M. E., Schaefer, G., & Tanaka, M. (2011). Automated color calibration method for dermoscopy images. Computerized Medical Imaging and Graphics, 35(2), 89–98. Retrieved from http://dx.doi.org/10.1016/j.compmedimag.2010.08.003
Lynn, N. C., & Kyu, Z. M. (2018). Segmentation and Classification of Skin Cancer Melanoma from Skin Lesion Images. Parallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings, 2017-Decem, 117–122. https://doi.org/10.1109/PDCAT.2017.00028
Madhulatha, T. S. (2012). An Overview On Clustering Methods. IOSR Journal of Engineering, 2(4), 719–725.
Mandels, R. J., & Calvin, L. (2014). Tingkat Akurasi Kodefikasi Morbiditas Rawat Inap Guna Menunjang Akurasi Pelaporan Di Bagian Rekam Medis Rumah Sakit Cahya Kawaluyan. Jurnal Kesehatan “Caring and Enthusiasm,” 2(1).
Martin, M., & Nilawati, L. (2019). Recall dan Precision Pada Sistem Temu Kembali Informasi Online Public Access Catalogue (OPAC) di Perpustakaan. Paradigma - Jurnal Komputer Dan Informatika, 21(1), 77–84.
Maskur, & Andriansyah, F. R. (2015). Implementasi Web Semantik Untuk Aplikasi Pencarian Tugas Akhir Menggunakan Ontologi Dan Cosine Similarity. Jurnal Ilmiah NERO, 2(1), 11–18.
Priambodo, H. S., Sari, Y. A., & Widodo, A. W. (2019). Klasifikasi Jenis Citra Makanan menggunakan Color Histogram dan Gray Level Co-occurrence Matrix dengan K-Nearest Neighbour. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 3(7), 6873–6880.
Seeja, R. D., & Suresh, A. (2019). Melanoma Segmentation and Classification using Deep Learning. (12). https://doi.org/10.35940/ijitee.L2516.1081219
Telaumbanua, F. D., Hulu, P., Nadeak, T. Z., Lumbantong, R. R., & Dharma, A. (2019). Penggunaan Machine Learning Di Bidang Kesehatan. Jurnal Penelitian Teknik Informatika, 2(2), 391–399.
Wilvestra, S., Lestari, S., & Asri, E. (2018). Studi Retrospektif Kanker Kulit di Poliklinik Ilmu Kesehatan Kulit dan Kelamin RS Dr. M. Djamil Padang Periode Tahun 2015-2017. Jurnal Kesehatan Andalas, 7(3), 47–49.
DOI: http://dx.doi.org/10.30700/jst.v11i2.1122
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