EKSPLORASI INFORMASI WARNA RGB UNTUK PENINGKATAN AKURASI DETEKSI DINI KANKER PADA CITRA BERDIMENSI TETAP MELALUI ATTENTION-BASED NEURAL NETWORK
Keywords:
RGB, citra medis, kanker, attention, neural networkAbstract
Penelitian ini bertujuan meningkatkan akurasi deteksi dini kanker pada citra berdimensi tetap dengan mengeksplorasi informasi warna RGB dan mengintegrasikannya ke dalam Attention-based Neural Network. Fokus penelitian diarahkan pada pemanfaatan distribusi warna yang muncul pada citra histopatologi sebagai sumber informasi penting dalam membedakan jaringan benign dan malignant. Model warna RGB dipilih karena setiap kanalnya mengandung variasi intensitas yang mencerminkan karakteristik biologis jaringan, sehingga berpotensi memperkaya proses pembelajaran model. Metode yang digunakan mencakup kurasi dataset kanker, pra-pemrosesan citra, normalisasi intensitas warna, augmentasi terarah, serta perancangan arsitektur CNN yang dilengkapi Attention Block. Seluruh citra diseragamkan pada ukuran 128×128 piksel dan dinormalisasi ke rentang 0–1. Model dilatih menggunakan optimizer Adam dengan batch size 32 dan jumlah epoch 50, serta dilengkapi mekanisme early stopping untuk menghindari overfitting. Mekanisme perhatian diterapkan untuk memperkuat fitur diagnostik pada area dan kanal warna yang paling relevan. Hasil penelitian menunjukkan bahwa informasi warna RGB berperan dalam menyoroti variasi pigmen dan pola tekstur yang berhubungan dengan perubahan seluler. Kanal merah, hijau, dan biru memiliki distribusi intensitas yang berbeda dan terbukti membantu model dalam mengenali perbedaan antar kelas. Integrasi Attention Block meningkatkan kemampuan model dalam memfokuskan proses pembelajaran pada area penting, sehingga menghasilkan representasi fitur yang lebih selektif dan stabil. Analisis peta perhatian menunjukkan bahwa model mampu mengidentifikasi bagian citra yang secara visual berkaitan dengan indikasi patologis. Penelitian ini menyimpulkan bahwa eksplorasi warna RGB yang digabungkan dengan Attention-based Neural Network mampu memperkuat akurasi dan interpretabilitas sistem deteksi dini kanker. Temuan ini membuka peluang pengembangan model yang lebih adaptif terhadap variasi warna dan dapat diterapkan pada berbagai jenis citra medis berdimensi tetap.
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Copyright (c) 2025 Desta Febi Nur Anggita, Dian Ade Kurnia, Yudhistira Arie Wijaya, Edi Wahyudin, Edi Tohodi
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