Analisis Citra Medis untuk Mendeteksi Diabetes Menggunakan Metode CNN(Convulutiona Neural Network)
Keywords:
Diabetes, Citra Medis, CNN (Convolutional Neural Network), Kecerdasan Buatan, Klasifikasi GambarAbstract
Pendeteksian dini terhadap penyakit diabetes menjadi kunci dalam meningkatkan kualitas hidup pasien dan mencegah komplikasi jangka panjang. Teknologi pengolahan citra medis berbasis kecerdasan buatan, khususnya metode Convolutional Neural Network (CNN), telah menunjukkan potensi besar dalam menganalisis dan mengklasifikasikan data visual dari tubuh manusia. Penelitian ini mengusulkan sebuah pendekatan otomatis untuk menganalisis citra medis, seperti gambar retina dan CT scan, guna mengidentifikasi indikasi diabetes. Dataset citra medis diolah melalui tahapan preprocessing, augmentasi, dan pelatihan menggunakan arsitektur CNN yang disesuaikan. Hasil eksperimen menunjukkan akurasi mencapai 94,2%, sensitivitas 91,7%, dan spesifisitas 95,5%.
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Copyright (c) 2025 Delia Anggraini, Maisyarah Maisyarah, Maya Sari Hasibuan, Sindi Pratika Siwi, Dafa Fahreza Putra, M. Khalil Gibran
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