Pengembangan Algoritma deteksi Covid-19 Berbasis Deep Learning pada Citra X-Ray dengan arsitektur ResNet152v2 = Development of COVID-19 detection Algorithm based on Deep Learning in X-RAY Images Using ResNet 152v2 architecture

Deteksi Tuberkulosis pada Citra X-Ray Dada Menggunakan Analisis Tekstur = Texture Analysis for Automatic Tuberculosis Detection on Chest X-Ray Images

Deteksi COVID-19 dan Tingkat Keparahannya dari Citra X-ray Dada Menggunakan Model Transfer Learning Convolutional Neural Network Xception dan EfficientNetB3 = Detection of COVID-19 and the Severity Level from Chest X-Ray Image Using Transfer Learning Convolutional Neural Network Xception and EfficientNetB3 Model

Pengembangan Model Deteksi dan Segmentasi Berbasis U-Net untuk Lokalisasi Kelainan Paru Indikator TB pada Citra Rontgen Thorax = Development of U-Net Based Detection and Segmentation Models for Localization of Lung Abnormalities TB Indicators on Thorax X-Ray Images

Analisis akurasi metode Convolutional Neural Network (CNN) pada klasifikasi COVID-19 Pneumonia dengan pendekatan Pseudo-coloring Red Green Blue (RGB) menggunakan data Citra Chest X-Ray = Accuracy analysis of Convolutional Neural Network (CNN) methods on classification of COVID-19 Pneumonia with Pseudo-coloring Red Green Blue (RGB) approach using Chest X-Ray image