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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.
Image Analysis & Stereology (IAS) formerly Acta Stereologica, is a triannual peer-reviewed scientific journal published by an independent not-for-profit publisher DSKAS. It is the official journal of the International Society for Stereology & Image Analysis. The journal publishes articles of all fields of image analysis and processing.
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.
It is devoted to the study of how information about and contained within medical images is retrieved, analyzed, enhanced, and exchanged throughout the medical enterprise. As radiology is an inherently data-intensive and technology-driven specialty, those in this branch of medicine have become leaders in Imaging Informatics.
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 ...
Initial versions of the open source framework was released by the end of 2009 (GIMIAS 0.6.15 was released in October 2009). [9]In 2010, more effort was done to empower the open source framework itself, providing more functionality like workflow manager, 3D Slicer plug-in compatibility, signal viewer and customizable views.