Dynamic Depth-Aware Network for Endoscopy Super-Resolution
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3188878
Abstract: Endoscopy super-resolution (SR) plays an important role in improving diagnostic results and reducing the misdiagnosis rate. Even though recent studies have investigated the SR for endoscopy, these methods apply equal importance to the whole image… read more here.
Keywords: endoscopy super; dynamic depth; depth; super resolution ... See more keywords
Depth-Aware Unpaired Video Dehazing
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2024.3378472
Abstract: This paper investigates a novel unpaired video dehazing framework, which can be a good candidate in practice by relieving pressure from collecting paired data. In such a paradigm, two key issues including 1) temporal consistency… read more here.
Keywords: depth information; depth aware; video dehazing; depth ... See more keywords
Depth‐Aware Shadow Removal
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DOI: 10.1111/cgf.14691
Abstract: Shadow removal from a single image is an ill‐posed problem because shadow generation is affected by the complex interactions of geometry, albedo, and illumination. Most recent deep learning‐based methods try to directly estimate the mapping… read more here.
Keywords: depth aware; shadow; image; shadow removal ... See more keywords
Depth-Aware Networks for Multi-Organ Lesion Detection in Chest CT Scans
Sign Up to like & getrecommendations! Published in 2024 at "Bioengineering"
DOI: 10.3390/bioengineering11100998
Abstract: Computer tomography (CT) scans’ capabilities in detecting lesions have been increasing remarkably in the past decades. In this paper, we propose a multi-organ lesion detection (MOLD) approach to better address real-life chest-related clinical needs. MOLD… read more here.
Keywords: depth aware; multi organ; lesion; lesion detection ... See more keywords