Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3188710
Abstract: Vessel segmentation is critical for disease diagnosis and surgical planning. Recently, the vessel segmentation method based on deep learning has achieved outstanding performance. However, vessel segmentation remains challenging due to thin vessels with low contrast… read more here.
Keywords: network; vessel; segmentation; resolution network ... See more keywords
High-Accuracy CSI Feedback With Super-Resolution Network for Massive MIMO Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2021.3122462
Abstract: Acquiring accurate channel state information (CSI) is critical for downlink precoding in frequency division duplexity (FDD) massive multiple-input multiple-output (MIMO) systems. In contrast to the traditional compressive sensing (CS) based methods, whose performance is hindered… read more here.
Keywords: mimo systems; feedback; network; resolution network ... See more keywords
CB-HRNet: A Class-Balanced High-Resolution Network for the evaluation of endoscopic activity in patients with ulcerative colitis.
Sign Up to like & getrecommendations! Published in 2023 at "Clinical and translational science"
DOI: 10.1111/cts.13542
Abstract: Endoscopic evaluation is the key to the management of ulcerative colitis (UC). However, there is interobserver variability in interpreting endoscopic images among gastroenterologists. Furthermore, it is time-consuming. Convolutional neural networks (CNNs) can help overcome these… read more here.
Keywords: evaluation; endoscopic; high resolution; class balanced ... See more keywords