Results 31 to 40 of about 10,895,923 (318)
Artifact Augmentation for Enhanced Tissue Detection in Microscope Scanner Systems
Sensors, 2023 As the field of routine pathology transitions into the digital realm, there is a surging demand for the full automation of microscope scanners, aiming to expedite the process of digitizing tissue samples, and consequently, enhancing the efficiency of ...
Dániel Küttel +6 more
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Image fusion for dynamic contrast enhanced magnetic resonance imaging
, 2004 Twellmann T, Saalbach A, Gerstung O, Leach MO, Nattkemper TW. Image fusion for dynamic contrast enhanced magnetic resonance imaging. Biomed Eng Online. 2004;3(1): 35.BACKGROUND: Multivariate imaging techniques such as dynamic contrast-enhanced magnetic ...
Nattkemper, Tim Wilhelm ; https://orcid.org/ +23 more
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Salient Regions for Query by Image Content [PDF]
, 2004 Much previous work on image retrieval has used global features such as colour and texture to describe the content of the image. However, these global features are insufficient to accurately describe the image content when different parts of the image ...
Hare, Jonathon S. +3 more
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BID: An Effective Blind Image Deblurring Scheme to Estimate the Blur Kernel for Various Scenarios
IEEE Access, 2020 In recent years, image deblurring has been widely investigated. In order to solve this ill-posed problem, a variety of prior models have been proposed successively.
Hong Zhang +3 more
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A novel framework for image-to-image translation and image compression
Neurocomputing, 2022 Data-driven paradigms using machine learning are becoming ubiquitous in image processing and communications. In particular, image-to-image (I2I) translation is a generic and widely used approach to image processing problems, such as image synthesis, style transfer, and image restoration.
Fei Yang 0004 +4 more
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Multitraining support vector machine for image retrieval
, 2006 Relevance feedback (RF) schemes based on support vector machines (SVMs) have been widely used in content-based image retrieval (CBIR). However, the performance of SVM-based RF approaches is often poor when the number of labeled feedback samples is small.
Tao, D. +7 more
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Bone Age Assessment Based on Rank-Monotonicity Enhanced Ranking CNN
IEEE Access, 2019 Skeletal bone age assessment based on hand x-ray is widely used in many fields. There is an urgent need for automated method to alleviate manual labor and address the problem of intra- and inter-observer variability.
Bo Liu +4 more
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Deformable Shape Priors in Chan-Vese Segmentation of Image Sequences
, 2007 In this paper we propose a new method for variational segmentation of image sequences containing nonrigid, moving objects. The method is based on the Chan-Vese model augmented with a novel frame-to-frame interaction term, which allow us to update the ...
Niels Chr. Overgaard +8 more
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Predicting regional coastal sea level changes with machine learning
Scientific Reports, 2021 All ocean basins have been experiencing significant warming and rising sea levels in recent decades. There are, however, important regional differences, resulting from distinct processes at different timescales (temperature-driven changes being a major ...
Veronica Nieves +2 more
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Development and validation of a novel porcine bile duct dilation model for EUS training
Endoscopy International Open, 2022 Background and study aims Image-guided minimally invasive techniques have transformed the management of malignant and benign bile duct obstructions. These evolving techniques are being widely adopted and applied and hands-on training using high quality ...
Leonardo Sosa-Valencia +5 more
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