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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.
Udupa has worked in the fields of medical image science, image processing, and physics analysis of medical imaging and medical diagnostic procedures since the 1980s. He is known for his contributions in image processing [ 2 ] and its applications in various fields of science, medicine, and engineering.
The future development of these technologies is advantageous as it gives a solution to human limitations in medical image processing. [4] Although a highly accurate and fully automated CAD system has yet to be realized, recent advancements in Artificial Intelligence may allow for functioning implementations. [11]
The offset, (,), is a position operator that can be applied to any pixel in the image (ignoring edge effects): for instance, (,) could indicate "one down, two right". An image with p {\displaystyle p} different pixel values will produce a p × p {\displaystyle p\times p} co-occurrence matrix, for the given offset.
Computational imaging systems span a broad range of applications. While applications such as SAR, computed tomography, seismic inversion are well known, they have undergone significant improvements (faster, higher-resolution, lower dose exposures [3]) driven by advances in signal and image processing algorithms (including compressed sensing techniques), and faster computing platforms.
An example of an application of informatics in medicine is bioimage informatics.. Dutch former professor of medical informatics Jan van Bemmel has described medical informatics as the theoretical and practical aspects of information processing and communication based on knowledge and experience derived from processes in medicine and health care.
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.
Information Processing in Medical Imaging, or IPMI, is a conference held every two years [1] focused on the fields of applied mathematics, computer science, image processing and image analysis (particularly of medical images); applied results in neuroscience, cardiology, and microscopy are also frequently considered. IPMI is the longest ...