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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 ...
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.
Computer-aided detection (CADe), also called computer-aided diagnosis (CADx), are systems that assist doctors in the interpretation of medical images.Imaging techniques in X-ray, MRI, endoscopy, and ultrasound diagnostics yield a great deal of information that the radiologist or other medical professional has to analyze and evaluate comprehensively in a short time.
ANIMAL (first implementation: 1988 - revised: 2004) is an interactive environment for image processing that is oriented toward the rapid prototyping, testing, and modification of algorithms. To create ANIMAL (AN IMage ALgebra), XLISP of David Betz was extended with some new types: sockets, arrays, images, masks, and drawables.
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.
Researchers at the University of Colorado Anschutz Medical Campus received up to $46 million in a grant to help develop an innovative treatment to cure blindness.
“This is a landmark finding,” says Bert Mandelbaum, M.D., a sports medicine specialist and orthopedic surgeon at Cedars-Sinai Kerlan-Jobe Institute and Co-Director of the Regenerative ...
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.