Architecture Processors in Data Base Medical Problems

Rakhimov, Bakhtiyar Saidovich and Saidov, Atabek Bakhtiyarovich and Shamuratova, Inabat Ismailovna and Ibodullaeva, Zarnigor Ollayor Qizi (2022) Architecture Processors in Data Base Medical Problems. International Journal on Orange Technologies, 4 (10). pp. 87-90. ISSN 2615-8140

Text 3598-Article Text-10464-1-10-20221029.pdf Download (552kB)

Abstract

Computer vision as a scientific discipline refers to the theories and technologies for creating medical database systems that receive information from an image. Despite the fact that this discipline is quite young, its results have penetrated almost all areas of life. Computer vision is closely related to other practical areas like image processing, the input of which is two-dimensional images obtained from a camera or artificially created. This form of image transformation is aimed at noise suppression, filtering, color correction and image analysis, which allows you to directly obtain specific information from the processed image. This information may include searching for objects, feature points, segments, etc. All scalar processors operate in SIMD mode, while executing a block of threads in the G80, the number of threads in a block is 32, called a warp. At the same time, in 4 clock cycles of the multiprocessor, all beam streams are processed at once when performing operations with floating point, with double precision - in 32 clock cycles, and transcendental functions - in 16 clock cycles.

Item Type:	Article
Subjects:	R Medicine > R Medicine (General)
Divisions:	Faculty of Health Science > School of Health Analyst
Depositing User:	Journal Editor
Date Deposited:	24 Dec 2022 18:55
Last Modified:	24 Dec 2022 18:55
URI:	http://eprints.umsida.ac.id/id/eprint/10849

Actions (login required)

View Item