Application of a fully deep convolutional neural network to the automation of tooth segmentation on panoramic radiographs.
Sign Up to like & getrecommendations! Published in 2019 at "Oral surgery, oral medicine, oral pathology and oral radiology"
DOI: 10.1016/j.oooo.2019.11.007
Abstract: OBJECTIVES To evaluate a fully deep learning mask region-based convolutional neural network (R-CNN) method for automated tooth segmentation using individual annotation of panoramic radiographs. STUDY DESIGN In total, 846 images with tooth annotations from 30… read more here.
Keywords: panoramic radiographs; segmentation; method; tooth segmentation ... See more keywords
A Fully Deep Learning Paradigm for Pneumoconiosis Staging on Chest Radiographs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3190923
Abstract: Pneumoconiosis staging has been a very challenging task, both for certified radiologists and computer-aided detection algorithms. Although deep learning has shown proven advantages in the detection of pneumoconiosis, it remains challenging in pneumoconiosis staging due… read more here.
Keywords: pneumoconiosis; pneumoconiosis staging; procedure; fully deep ... See more keywords