Gallbladder Cancer Detection in Ultrasound Images based on YOLO and Faster R-CNN

arXiv:2404.15129v1 Announce Type: new
Abstract: Medical image analysis is a significant application of artificial intelligence for disease diagnosis. A crucial step in this process is the identification of regions of interest within the images. This task can be automated using object detection algorithms. YOLO and Faster R-CNN are renowned for such algorithms, each with its own strengths and weaknesses. This study aims to explore the advantages of both techniques to select more accurate bounding boxes for gallbladder detection from ultrasound …

abstract algorithms analysis application artificial artificial intelligence arxiv automated cancer cancer detection cnn cs.cv detection diagnosis disease disease diagnosis faster identification image images intelligence medical object process r-cnn type yolo