DETEKSI COVID-19 MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK BERDASARKAN HASIL CITRA CT-SCAN THORAX

DETEKSI COVID-19 MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK BERDASARKAN HASIL CITRA CT-SCAN THORAX

• By Mustopa, Ali;
• Tesis
• 119
• 1-106

Corona Virus Diseases 19 (COVID-19) adalah infeksi virus yang sangat menular yang disebabkan oleh sindrom pernapasan akut coronavirus 2 (SARS-CoV-2). Covid-19 menjadi penyakit yang menghawatirkan karena dapat menularkan antar manusia melalui saluran udara sehingga dapat menjadi infeksi pada paru-paru. Salah satu deteksi covid dapat diidentifikasi melalui hasil Computed Tomography Scan (CT-Scan) thorax. Citra CT-Scan tohrax memberikan informasi yang lebih rinci dibandingkan rongsen biasa dalam mendeteksi Covid-19. Convolutional Neural Network (CNN) merupakan algoritma deep learaning yang banyak digunakan dalam penelitian citra medis. Hal ini dikarenakan algoritma deep learning memiliki kinerja mendalam yang direpresentasikan melalui hidden layer. Saat ini banyak penelitian terkait model CNN untuk mendeteksi covid-19. Secara khusus, kami mengusulkan pendekatan metode usulan, yang secara sinergis mengintegrasikan yang mana mempelajari representasi fitur yang kuat dan tidak bias untuk mengurangi risiko overfitting. Sebagai bahan penelitian digunakan dataset dengan citra sebanyak 17.104 citra yang terdiri dari 7593 Covid-19, 6893 Normal dan 2618 CAP (Community Acquired Pneumonia).  Pengguna arsitektur usulan melakukan augmentasi citra agar mengurangi ketimpangan data citra. Selain itu metode usulan memberikan kinerja lebih baik dibandingkan aristektur yang lain seperti VGG16, Resnet50, Densenet121 dan MobileNet. Arsitektur usulan menggunakan lima hidden layer dengan optimizer adam dimana dapat menghasilkan akurasi sebesar 99,38% dan nilai Cohen’s Cappa sebesar 99,07% yang mana dalam hal ini memiliki keeratan yang sangat kuat. Hal ini tentunya peneliti membangun sistem dengan nama SIDECO19 sebagai implementasi terhadap metode usulan CNN yang mendeteksi dini penyakit Covid-19.

 

Kata Kunci : Covid-19, CT-Scan, CNN, deep learning, metode usulan

 

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