Articles with "medical images" as a keyword



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A powerful probabilistic model for noise analysis in medical images

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Published in 2022 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.22838

Abstract: The statistical properties in various medical images demonstrate uncorrelated noise fluctuations. The signal noise fluctuations are generally due to physical imaging processes and have nothing to do with the tissue textures. Adding the noise types… read more here.

Keywords: model noise; noise; powerful probabilistic; medical images ... See more keywords
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Efficient compression of volumetric medical images using Legendre moments and differential evolution

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Published in 2020 at "Soft Computing"

DOI: 10.1007/s00500-019-03922-7

Abstract: Volumetric medical images are widely used in diagnosing and detecting health problems of patients. Large datasets of volumetric medical images required huge storage space and high network capabilities to transmit these medical images from one… read more here.

Keywords: legendre moments; efficient compression; images using; volumetric medical ... See more keywords
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Analyzing genetic diseases using multimedia processing techniques associative decision tree-based learning and Hopfield dynamic neural networks from medical images

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Published in 2019 at "Neural Computing and Applications"

DOI: 10.1007/s00521-018-04004-9

Abstract: Genetic diseases are the most common next-generation diseases because of the improper mutation of the genes and DNA. These genetic diseases are failed to predict with an accurate manner in the beginning stage by using… read more here.

Keywords: genetic diseases; decision tree; medical images; associative decision ... See more keywords
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Implementation of Enterprise Imaging Strategy at a Chinese Tertiary Hospital

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Published in 2017 at "Journal of Digital Imaging"

DOI: 10.1007/s10278-017-0044-9

Abstract: Medical images have become increasingly important in clinical practice and medical research, and the need to manage images at the hospital level has become urgent in China. To unify patient identification in examinations from different… read more here.

Keywords: imaging strategy; enterprise imaging; hospital; medical images ... See more keywords
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Interoperability and Considerations for Standards-Based Exchange of Medical Images: HIMSS-SIIM Collaborative White Paper

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Published in 2019 at "Journal of Digital Imaging"

DOI: 10.1007/s10278-019-00294-0

Abstract: This white paper explores the considerations of standards-based interoperability of medical images between organizations, patients, and providers. In this paper, we will look at three different standards-based image exchange implementations that have been deployed to… read more here.

Keywords: standards based; medical images; paper; considerations standards ... See more keywords
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Unsupervised medical images denoising via graph attention dual adversarial network

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Published in 2021 at "Applied Intelligence"

DOI: 10.1007/s10489-020-02016-4

Abstract: A lot of natural images denoising methods have been proposed, however, there are dual primary challenges for medical images denoising: 1) paired datasets are scarce and 2) medical images are often three-dimensional. In this paper,we… read more here.

Keywords: network; images denoising; medical images; adversarial network ... See more keywords
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Medical Images are Safe – an Enhanced Chaotic Scrambling Approach

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Published in 2017 at "Journal of Medical Systems"

DOI: 10.1007/s10916-017-0809-1

Abstract: The patient data confidentiality is one of the vital security aspects in e-Health and m-Health services. In particular, providing confidentiality to the patient’s medical image is essential and the protection approaches have to be explored… read more here.

Keywords: medical images; chaotic scrambling; enhanced chaotic; scrambling approach ... See more keywords
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Framework of Computer Aided Diagnosis Systems for Cancer Classification Based on Medical Images

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Published in 2018 at "Journal of Medical Systems"

DOI: 10.1007/s10916-018-1010-x

Abstract: Early detection of cancer can increase patients’ survivability and treatment options. Medical images such as Mammogram, Ultrasound, Magnetic Resonance Imaging, and microscopic images are the common method for cancer diagnosis. Recently, computer-aided diagnosis (CAD) systems… read more here.

Keywords: systems cancer; medical images; diagnosis; aided diagnosis ... See more keywords
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A ROI-based high capacity reversible data hiding scheme with contrast enhancement for medical images

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Published in 2017 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-017-4444-0

Abstract: In this paper, we attempt to investigate the secure archiving of medical images which are stored on semi-trusted cloud servers, and focus on addressing the complicated and challenging integrity control and privacy preservation issues. With… read more here.

Keywords: based high; roi based; contrast; medical images ... See more keywords
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A novel segmentation model for medical images with intensity inhomogeneity based on adaptive perturbation

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Published in 2018 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-018-6735-5

Abstract: In medical field, it remains challenging to accurately segment medical images due to low contrast, complex noises and intensity inhomogeneity. To overcome these obstacles, this paper provides a novel edge-based active contour model (ACM) for… read more here.

Keywords: model; segmentation; intensity inhomogeneity; medical images ... See more keywords
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Embedding in medical images: an efficient scheme for authentication and tamper localization

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Published in 2020 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-020-08988-2

Abstract: In e-healthcare applications integrity of the received information is of prime importance for ensuring the accurate diagnosis. The integrity of electronic medical record (EMR) is possible only when the medical images and other relevant data… read more here.

Keywords: ria scheme; tamper localization; authentication; medical images ... See more keywords