Results 41 to 50 of about 5,580,472 (385)
BronchoX: bronchoscopy exploration software for biopsy intervention planning
Healthcare Technology Letters, 2018 Virtual bronchoscopy (VB) is a non-invasive exploration tool for intervention planning and navigation of possible pulmonary lesions (PLs). A VB software involves the location of a PL and the calculation of a route, starting from the trachea, to reach it.
Esmitt Ramírez +6 more
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TnTViT-G: Transformer in Transformer Network for Guidance Super Resolution
IEEE Access, 2023 Image Super Resolution is a potential approach that can improve the image quality of low-resolution optical sensors, leading to improved performance in various industrial applications.
Armin Mehri +2 more
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Healthcare Technology Letters, 2019 Optical colonoscopy is known as a gold standard screening method in detecting and removing cancerous polyps. During this procedure, some polyps may be undetected due to their positions, not being covered by the camera or missed by the surgeon.
Mohammad Ali Armin +3 more
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Improved softmax loss for deep learning-based face and expression recognition
Cognitive Computation and Systems, 2019 In recent years, deep convolutional neural networks (CNN) have been widely used in computer vision and significantly improved the performance of image recognition tasks.
Jiancan Zhou +4 more
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Deep Learning vs. Traditional Computer Vision [PDF]
in Advances in Computer Vision Proceedings of the 2019 Computer
Vision Conference (CVC). Springer Nature Switzerland AG, pp. 128-144, 2019 Deep Learning has pushed the limits of what was possible in the domain of Digital Image Processing. However, that is not to say that the traditional computer vision techniques which had been undergoing progressive development in years prior to the rise of DL have become obsolete. This paper will analyse the benefits and drawbacks of each approach.
arxiv +1 more source
A survey of the Vision Transformers and their CNN-Transformer based Variants [PDF]
Artificial Intelligence Review (2023): 1-54, 2023 Vision transformers have become popular as a possible substitute to convolutional neural networks (CNNs) for a variety of computer vision applications. These transformers, with their ability to focus on global relationships in images, offer large learning capacity.
arxiv +1 more source
Highly Discriminative Physiological Parameters for Thermal Pattern Classification
Sensors, 2021 Infrared Thermography (IRT) is a non-contact, non-intrusive, and non-ionizing radiation tool used for detecting breast lesions. This paper analyzes the surface temperature distribution (STD) on an optimal Region of Interest (RoI) for extraction of ...
Laura Benita Alvarado-Cruz +4 more
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Comparison of 3D interest point detectors and descriptors for point cloud fusion [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 The extraction and description of keypoints as salient image parts has a long tradition within processing and analysis of 2D images. Nowadays, 3D data gains more and more importance.
R. Hänsch, T. Weber, O. Hellwich
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Compliant Manipulation With Quasi-Rigid Docking for Underwater Structure Inspection
IEEE Access, 2023 Offshore wind farms are a crucial source of renewable energy, but maintenance and repair can be challenging due to their remote locations and harsh environmental conditions.
Roger Pi +4 more
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Intraoperative Extraction of Airways Anatomy in VideoBronchoscopy
IEEE Access, 2020 A main bottleneck in bronchoscopic biopsy sampling is to efficiently reach the lesion navigating across bronchial levels. Any guidance system should be able to localize the scope position during the intervention with minimal costs and alteration of ...
Debora Gil +4 more
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