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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.
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).
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 ).
MITK, the Medical Imaging Interaction Toolkit is an open source project for developing interactive medical image processing software, developed at the Deutsche Krebsforschungszentrum, Heidelberg Voreen , an open source, multi-platform volume rendering engine, maintained by the Visualization and Computer Graphics Research Group (VisCG) at the ...
Medical image computing (MIC) is an interdisciplinary field at the intersection of computer science, information engineering, electrical engineering, physics, mathematics and medicine. This field develops computational and mathematical methods for solving problems pertaining to medical images and their use for biomedical research and clinical care.
The Journal Citation Reports for 2018 gives the top three journals in medical informatics as the Journal of Medical Internet Research (impact factor of 4.945), JMIR mHealth and uHealth (4.301) and the Journal of the American Medical Informatics Association (4.292). [112]
If the goal is a medical diagnostic, then histology applications will often fall into the realm of digital pathology or automated tissue image analysis, which are sister fields of bioimage informatics. The same computational techniques are often applicable, but the goals are medically- rather than research-oriented.
Medical Image Computing (the "MIC" in MICCAI) is the field of study involving the application of image processing and computer vision to medical imaging.The goals of medical image computing tasks are diverse, but some common examples are computer-aided diagnosis, image segmentation of anatomical structures and/or abnormalities, and the registration or "alignment" of medical images acquired ...