DEEP LEARNING METHODS FOR DETECTION AND LOCALIZATION OF TUBERCULOSIS IN X-RAY IMAGES
Abstract. Tuberculosis remains one of the most widespread infectious diseases, requiring timely and accurate diagnosis. In this regard, this study presents the development and comparative evaluation of deep learning models for the automatic detection of tuberculosis in chest X-ray images. The aim of the study is to analyze the effectiveness of YOLOv8 and RT-DETR model […]