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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.
Medical image computing typically operates on uniformly sampled data with regular x-y-z spatial spacing (images in 2D and volumes in 3D, generically referred to as images). At each sample point, data is commonly represented in integral form such as signed and unsigned short (16-bit), although forms from unsigned char (8-bit) to 32-bit float are ...
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.
3D Slicer Extensible, free open source multi-purpose software for visualization and analysis. Amira 3D visualization and analysis software; Analysis of Functional NeuroImages (AFNI) Analyze developed by the Biomedical Imaging Resource (BIR) at Mayo Clinic. Brain Image Analysis Package; CamBA; Caret Van Essen Lab, Washington University in St. Louis
Electronic Letters on Computer Vision and Image Analysis (usually abbreviated ELCVIA) is a peer-reviewed open-access scientific journal focusing on computer vision and image analysis (subfields of artificial intelligence) as well as image processing (a subfield of signal processing). [1]
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).
It has been shown that the subcellular location of stained proteins can be identified from histology images. 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 ...
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