Abstract
SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.
Abstract
The discipline of artificial intelligence (AI), which trains computers to
comprehend and analyse pictures using computer vision, is flourishing, particularly in
the medical industry. The well-known non-invasive diagnostic procedure known as
CCTA (Coronary Computerized Tomography Angiography) is used to diagnose
cardiovascular disease (CD). Pre-processing CT Angiography pictures is a crucial step
in computer vision-based medical diagnosis. Implementing image enhancement
preprocess to reduce noise or blur pixels and weak edges in a picture marks the
beginning of the research stages. Using Python and PyCharm(IDE) editor, we can build
Edge detection routines, smoothing/filtering functions, and edge sharpening functions
as a first step in the pre-processing of CCTA pictures.
Keywords:
Artificial intelligence (AI), Cardiovascular diseases (CVD), Coronary computed tomography angiography (CCTA), Coronary artery diseases (CAD), Stenosis.
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Authors:Bentham Science Books