Results 21 to 30 of about 2,954,647 (288)
ROI coding of volumetric medical images with application to visualisation [PDF]
, 2003 This paper presents region of interest (ROI) coding of volumetric medical images with the region itself being three dimensional. An extension to 3D-SPIHT which allows 3D ROI coding is proposed.
Agrafiotis, D, Bull, DR, Canagarajah, CN
core +2 more sources
International Journal of Online and Biomedical Engineering (iJOE), 2023 Medical image security is possible using digital watermarking techniques. Important information is included in a host medical image in order to provide integrity, consistency, and authentication in the healthcare information system. This paper introduces a proposed method for embedding invisible watermarking in the 3D medical image.
Nashwan Alsalam Ali, Iman I. Hamid
openaire +1 more source
Rasmussen aneurysm: A rare but not gone complication of tuberculosis
International Journal of Infectious Diseases, 2018 This report describes the case of a 30-year-old homeless man from Pereira, Colombia with tuberculosis, who presented with massive hemoptysis and associated aneurysm of the left upper lobe (Rasmussen aneurysm).
Ángela María Giraldo-Montoya +5 more
doaj +1 more source
Проблеми на постмодерността, 2023 This literature review assesses the prospective implications and advantages of incorporating artificial intelligence (AI) within the healthcare infrastructure of Romania.
Sebastian Fitzek +1 more
doaj
Medical Images Analysis in Cancer Diagnostic
, 2018 This paper shows results of computer analysis of images in the purpose of finding differences between medical images in order of their classifications in terms of separation malign tissue from a normal and benign tissue.
Berbakov, Lazar +7 more
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DRINet for medical image segmentation [PDF]
, 2018 Convolutional neural networks (CNNs) have revolutionized medical image analysis over the past few years. The UNet architecture is one of the most well-known CNN architectures for semantic segmentation and has achieved remarkable successes in many ...
Bentley, P +5 more
core +1 more source
Anatomy-specific classification of medical images using deep convolutional nets [PDF]
, 2015 Automated classification of human anatomy is an important prerequisite for many computer-aided diagnosis systems. The spatial complexity and variability of anatomy throughout the human body makes classification difficult.
Kim, Lauren +7 more
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Autoencoding the Retrieval Relevance of Medical Images
, 2015 Content-based image retrieval (CBIR) of medical images is a crucial task that can contribute to a more reliable diagnosis if applied to big data. Recent advances in feature extraction and classification have enormously improved CBIR results for digital ...
Camlica, Zehra +2 more
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Update on the PI-RADS-ACR scoring system
Journal of the Mexican Federation of Radiology and ImagingThe incorporation of magnetic resonance imaging (MRI) in the assessment of prostate cancer (PCa) is a key example of how imaging can impact patient management.
Gabriel de Lion-Gouvea +3 more
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Medical Images Segmentation for Lung Cancer Diagnosis Based on Deep Learning Architectures
Diagnostics, 2023 Lung cancer presents one of the leading causes of mortalities for people around the world. Lung image analysis and segmentation are one of the primary steps used for early diagnosis of cancer. Handcrafted medical imaging segmentation presents a very time-
Yahia Said +3 more
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