Monograf: Komparasi Model Transfer Learning Algoritma CNN pada Penyakit Alzheimer
Keywords:
alzheimer, classification, transfer, learning, cnn
Abstract
ISBN: 978-623-88102-3-9
Penyakit Alzheimer merupakan kondisi neurodegeneratif progresif yang ditandai oleh penurunan kejiwaan, kognitif, dan struktural, yang menyumbang 60% - 80% dari semua kasus demensia. Diagnosis penyakit ini dapat dilakukan melalui pemeriksaan pencitraan, penilaian klinis, dan tes neuropsikologis. Salah satu kemajuan teknologi yang dapat digunakan untuk diagnosis penyakit Alzheimer adalah deep learning. Buku ini membahas cara menggunakan algoritma CNN untuk mengklasifikasikan penyakit Alzheimer, dengan fokus pada pemilihan model transfer learning yang tepat. Buku ini menitikberatkan pada pengembangan model CNN, termasuk pemrosesan dataset, pembagian data latih dan uji, serta pembuatan model transfer learning seperti InceptionV3, Inception ResNet, VGG16, ResNet50, dan Exception. Selain itu, buku ini juga menjelaskan proses evaluasi model yang telah dibuat.
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