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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.
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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.
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.
Segmentation is the process of partitioning an image into different meaningful segments. In medical imaging, these segments often correspond to different tissue classes, organs, pathologies, or other biologically relevant structures. [2] Medical image segmentation is made difficult by low contrast, noise, and other imaging ambiguities.
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 2025 the editor-in-chief is Ge Wang (Rensselaer Polytechnic Institute).