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Medical Imaging and Pediatric and Adolescent Hematologic Cancer Risk. [PDF]
Smith-Bindman R +17 more
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Retraction: Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds. [PDF]
PLOS One Editors.
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Bibliometric Analysis of Artificial Intelligence in Pediatric Radiology and Medical Imaging: A Focus on Deep Learning Applications. [PDF]
Garba AT +6 more
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The paper gives an introduction to current medical ultrasound imaging systems. The basics of anatomic and blood flow imaging are described. The properties of medical ultrasound and its focusing are described, and the various methods for two- and three-dimensional imaging of the human anatomy are shown.
Jørgen Arendt Jensen
exaly +3 more sources
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Segmentation of medical images
Image and Vision Computing, 1993Abstract Segmentation and labelling remains the weakest step in many medical vision applications. This paper illustrates an approach based on generic modules which are designed to solve typical problems encountered in various applications, and which are controllable through adaptation of their parameters.
Rudi Deklerck +2 more
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Media images and medical images
Social Science & Medicine (1967), 1975Abstract The study sought to examine the image of women portrayed in drug advertisements and how that image contrasts with the portrayal of men. Special attention was given to advertisements for mood-modifying drugs since women are the majority of users of such drugs. Content analysis was performed on nearly 500 drug advertisements in a sample drawn
Andrea Mant, Dorothy Broom Darroch
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AIP Conference Proceedings, 2012
The aim of this study is to provide emerging applications of wavelet methods to medical signals and images, such as electrocardiogram, electroencephalogram, functional magnetic resonance imaging, computer tomography, X-ray and mammography. Interpretation of these signals and images are quite important. Nowadays wavelet methods have a significant impact
Sevindir, Huliya A. +3 more
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The aim of this study is to provide emerging applications of wavelet methods to medical signals and images, such as electrocardiogram, electroencephalogram, functional magnetic resonance imaging, computer tomography, X-ray and mammography. Interpretation of these signals and images are quite important. Nowadays wavelet methods have a significant impact
Sevindir, Huliya A. +3 more
openaire +3 more sources

