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Medical Image Analysis (MedIA) is a peer-reviewed academic journal which focuses on medical and biological image analysis.The journal publishes papers which contribute to the basic science of analyzing and processing biomedical images acquired through means such as magnetic resonance imaging, ultrasound, computed tomography, nuclear medicine, x-ray, optical and confocal microscopy, among others.
Journal of Medical Imaging is a peer-reviewed scientific journal published bimonthly by SPIE. It covers fundamental, applied and translational research on medical imaging . It was established in 2014 and its editor-in-chief is Bennett A. Landman ( Vanderbilt University ).
Medical image segmentation is made difficult by low contrast, noise, and other imaging ambiguities. Although there are many computer vision techniques for image segmentation, some have been adapted specifically for medical image computing. Below is a sampling of techniques within this field; the implementation relies on the expertise that ...
IEEE Transactions on Medical Imaging is a monthly peer-reviewed scientific journal published by the Institute of Electrical and Electronics Engineers (IEEE). It covers technological aspects of medical imaging techniques. The journal was established in 1982 and since 2019 the editor-in-chief is Leslie Ying (University at Buffalo).
The IEEE Transactions on Image Processing is a monthly peer-reviewed scientific journal covering aspects of image processing in the field of signal processing. It was established in 1992 and is published by the IEEE Signal Processing Society. The editor-in-chief is Benoît Macq (Université catholique de Louvain).
Medical imaging is the technique and process of imaging the interior of a body for clinical analysis and medical intervention, as well as visual representation of the function of some organs or tissues . Medical imaging seeks to reveal internal structures hidden by the skin and bones, as well as to diagnose and treat disease.
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The journal covers research in computer vision and image understanding, pattern analysis and recognition, machine intelligence, machine learning, search techniques, document and handwriting analysis, medical image analysis, video and image sequence analysis, content-based retrieval of image and video, and face and gesture recognition.