Results 31 to 40 of about 2,772,177 (283)
Learning to rank from medical imaging data [PDF]
, 2012 Medical images can be used to predict a clinical score coding for the severity of a disease, a pain level or the complexity of a cognitive task. In all these cases, the predicted variable has a natural order.
F. Pedregosa +11 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
openaire +6 more sources
Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis [PDF]
, 2018 Neural networks promise to bring robust, quantitative analysis to medical fields, but adoption is limited by the technicalities of training these networks.
Ginley, Brandon +9 more
core +2 more sources
Archives of Medicine and Health Sciences, 2017 Nowadays, millions of studies perform daily around the world. Medical imaging developed throughout for >100 years. It is used to visualize the different body structure and the functional activities.
Yousif Mohamed Y. Abdallah
doaj +1 more source
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
core +1 more source
Modelling and simulation of magnetic induction in magnetic particle imaging system [PDF]
, 2020 In the last century, tomographic imaging has become an essential tool for disease diagnosis. There are several dominant tomographic imaging methods used for medical application such as computed tomography (CT), magnetic resonance imaging (MRI), positron ...
Birahim, Muhamad Fikri Shahkhirin +2 more
core
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.
openaire +2 more sources
Medical Imaging Technology for Micro/Nanorobots
Nanomaterials, 2023 Due to their enormous potential to be navigated through complex biological media or narrow capillaries, microrobots have demonstrated their potential in a variety of biomedical applications, such as assisted fertilization, targeted drug delivery, tissue ...
Xuejia Liu +9 more
doaj +1 more source
Journal of Radiation Research and Applied Sciences, 2018 Medical imaging services are the key tool to diagnose many diseases and have an important role in monitoring treatment and predicting outcome. The current study conducted to evaluate advanced medical imaging services (CT and MRI) at Governmental ...
K.M. Abushab +6 more
doaj +1 more source
Acute Stroke Multimodal Imaging: Present and Potential Applications toward Advancing Care. [PDF]
, 2017 In the past few decades, the field of acute ischemic stroke (AIS) has experienced significant advances in clinical practice. A core driver of this success has been the utilization of acute stroke imaging with an increasing focus on advanced methods ...
Liang, John W. +3 more
core +2 more sources