Medical image collaboration may be accomplished for medical practise and education by bringing the idea of CSCW to the medical imaging field. Medical pictures may be examined and diagnosed by groups of people, and individuals can talk about them on a chat system while exchanging visual image data on their terminals. The process of generating visible pictures of inside body structures for scientific and medicinal research and therapy, as well as a visible view of the function of internal tissues, is known as medical imaging. The goal of this procedure is to identify and treat disorders. This procedure generates a database of the organs' normal structure and function, making it simple to spot abnormalities. Organic and radiological imaging, using electromagnetic energy (X-rays and gamma), sonography, magnetic scopes, and thermal and isotope imaging are all part of this process.
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The image is a measurement of a perceived sight's characteristics, such as lighting or color. Lower processing costs, simpler storage and transfer, rapid quality assessment, repeated copying while preserving quality, fast and affordable reproduction, and flexible editing are just a few benefits of using digital photos. Digital images have a number of downsides, including copyright infringement, difficulties resizing while preserving quality, the need for vast amounts of memory, and the need for a rapid CPU for processing. Image processing is the use of a computer to modify a digital image. This approach has various benefits, such as adaptation, flexibility, data storage, and communication. Thanks to the development of various picture scaling techniques, images may be retained effectively. This strategy calls for simultaneously applying a lot of different criteria to the images.
Such techniques have a number of disadvantages in comparison to methods that produce images. Worldwide, billions of photographs are taken each year for a variety of medical purposes. Nearly half of them utilize radiation therapy, both ionizing and non-ionizing. Without invasive procedures, medical imaging may provide images of the inside organs. Fast computers and the mathematical and logical conversion of energy into signals were used to produce such images. The impulses are then converted to digital images. These signals show the many tissue types that comprise the human body. Digital photos are essential in everyday life. The phrase “medical imaging processing” describes the process of modifying images using a computer. A few of the techniques and actions used in this processing include image capture, storage, display, and transmission (Kasban et al., 2015; Matthews & Jezzard, 2004; Suetens, 2017; Webb, 2017; Wen, 2019).
Pictures in 2D and 3D can manage several dimensions. Image processing techniques were created in the 1960s. These techniques have been used to a number of fields, including as television visual improvement, therapeutic purposes, the arts, and space exploration. Picture processing grew speedier and less costly in the 1970s as a result of advancements in computer systems. Throughout the 2000s, image processing became quicker, more affordable, and simpler. One of the most complex systems ever created is the visual system of humans. Living things need this system to organize and grasp the many intricate parts that make up their environment. The visual system is made up of the eye, which transforms light into neural signals, and the brain's related areas, which process those signals and extract significant information. Two cylinder-shaped structures that are anteriorly located in the skull make form the human eye. The eyeballs measure 2.5 cm both longitudinally and transversally. The centre of the eyeball has a darkened feature called the pupil. This system enables light to enter the eye. This system narrows when exposed to a stronger light source. This enhances the visual process and reduces the quantity of light that reaches the retina. Several muscles that surround the eye are in charge of controlling the pupil's enlargement. The sclera, or eye's supporting tissues, are constantly there. A ligamentous structure, the lens is joined to the cornea via the corneal stroma.
As an interdisciplinary research field bringing together specialists from applied mathematics, computer science, engineering, statistics, physics, biology, and medicine, biomedical image processing has expanded quickly. Today, computer-assisted diagnostic processing is a common practice in clinical settings. The flurry of new high-tech development and the use of various imaging modalities brings up new challenges, such as how to process and analyze a vast number of images in order to provide high-quality information for sickness diagnosis and treatment. This course's major objectives are to introduce students to the basic concepts and techniques of medical image processing and to stimulate their interest in further research and study in this area. Discussions of recent advancements in biological signal processing and image processing are frequent (Elmogy, 2017; Gill & Sharma, 2016; Marcel et al., 2012; Qu & Xu, 2020; van Sloun et al., 2019).