Results 21 to 30 of about 2,936,368 (282)
Applied Sciences, 2023 Spinal deformity refers to a range of disorders that are defined by anomalous curvature of the spine and may be classified as scoliosis, hypo/hyperlordosis, or hypo/hyperkyphosis.
Nurhusna Najeha Amran +6 more
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Medical Image Imputation From Image Collections [PDF]
IEEE Transactions on Medical Imaging, 2019 We present an algorithm for creating high resolution anatomically plausible images consistent with acquired clinical brain MRI scans with large inter-slice spacing. Although large data sets of clinical images contain a wealth of information, time constraints during acquisition result in sparse scans that fail to capture much of the anatomy.
Adrian V. Dalca +5 more
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Multi-modality medical image fusion using cross-bilateral filter and neuro-fuzzy approach
Journal of Medical Physics, 2021 Context: The proposed technique uses the edge-preserving capabilities of cross-bilateral filter (CBF) and artificial intelligence technique adaptive neuro-fuzzy inference system (ANFIS) to fuse multi-modality medical images.
Harmeet Kaur +3 more
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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
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Medical imaging strategies [PDF]
Journal of Digital Imaging, 1988 Computed tomography (CT), intravenous digital subtraction angiography (IV-DSA), digital radiographic image processing and dual energy subtraction are four examples of medical imaging strategies that have met with various degrees of success as judged by diagnostic performance.
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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
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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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MRI brain classification using support vector machine [PDF]
, 2011 The field of medical imaging gains its importance with increase in the need of automated and efficient diagnosis in a short period of time. Other than that, medical image retrieval system is to provide a tool for radiologists to retrieve the images ...
Abdullah, N. B. +2 more
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Cats or CAT scans: transfer learning from natural or medical image source datasets? [PDF]
, 2019 Transfer learning is a widely used strategy in medical image analysis. Instead of only training a network with a limited amount of data from the target task of interest, we can first train the network with other, potentially larger source datasets ...
Cheplygina, Veronika
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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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