Klasifikasi Kanker Payudara Menggunakan Residual Neural Network
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Abstract
penelitian ini dibuatlah sebuah sistem dengan bantuan komputer yang dapat membantu para dokter untuk mengklasifikasi jenis sel payudara berdasarkan gambar histopatologi. Dalam penelitian ini, diusulkan sebuah metode menggunakan pendekatan deep convolutional neural network menggunakan arsitektur Residual Neural Network (ResNet) untuk pengklasifikasian berdasarkan gambar histopatologi pada dataset BreakHis. Performa terbaik yang dicapai dalam metode ini mencapai tingkat rata-rata akurasi 99,3% pada pengklasifikasian binary, dan tingkat rata-rata akurasi 94,6% pada pengklasifikasian multi-class yang mana hampir setara dengan kondisi state-ofthe-art saat penelitian ini ditulis.
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