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Radioanatomy (x-ray anatomy) is an anatomy discipline that involves studying anatomy through the use of radiographic films. [3] The x-ray film represents a two-dimensional image of a three-dimensional object due to the summary projection of different anatomical structures onto a planar surface.
Defecography (also known as proctography, defecating/defecation proctography, evacuating/evacuation proctography or dynamic rectal examination) is a type of medical radiological imaging in which the mechanics of a patient's defecation are visualized in real time using a fluoroscope. [1]
[1] [2] Thomas visualized the human body shape as an egg or ellipse rather than as the cylinder model that is envisioned in the concept of the BMI. [1] [2] The degree of circularity of an ellipse is quantified by eccentricity, with values between 0 to 1, where 0 is a perfect circle (waist circumference same as height) and 1 is a vertical line. [1]
Surface projections of the major organs of the trunk, using the vertebral column and rib cage as main reference points of surface anatomy. Surface anatomy (also called superficial anatomy and visual anatomy) is the study of the external features of the body of an animal. [1] In birds, this is termed topography.
Students can be provided theory on a medical pathophysiology and through virtual reality, the concept can be visualized, made concrete and improve learning and retention. The overall goal for virtual reality in nursing education is to create a new environment that addresses the current concerns associated with lack of resources and realism.
BioDigital is a New York-based biomedical visualization company that is often referred to as being "Google Earth for the Human Body". [1] [2] BioDigital offers an interactive, 3D software platform that enables individuals and businesses to explore and visualize health information. [3]
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Markerless pose estimation: User-defined body parts must be manually annotated in a series of frames to use as training data. [6] Deep learning and computer vision techniques are then employed to learn the location of the body parts in the training data. Next, the trained model is used to predict the location of the body parts in each frame on ...