XULOSA
Xulosa o’rnida shuni aytish mumkinki, DICOM fayllarini o'qish uchun ImageIO
paketi eng qulay instrumental vositalar hisoblanadi. DICOM faylida Pixel Data bilan
bir qatorda metamaʼlumotlar, atributlar toʻplami yordamida
tibbiy tasvirlar uchun
tibbiy tahlillar o‘tkazish mumkinligi aniqlandi. PixelSapcing, SliceThickness, Shape
va PixelAspectRatio kabi tasvir bilan bogʻliq boʻlgan maxsus
atributlari yordamida
taklif qilingan algoritm asosida markaziy protsessorda tibbiy tasvirlarni o‘qishga
farflangan vaqtlarni qisqatirishga erishildi.
ADABIYOTLAR RO‘YXATI
1.
C. Rossant, IPython Interactive Computing
and Visualization Cookbook,
(2018), Mastering widgets in the Jupyter Notebook.
2.
Sh.A. Umarov – Tasvirlarga raqamli ishlov berish (ma’ruza matni), Farg‘ona
2015.
3.
Rafael C., Gonsales, Richard E. Woods – Цифровая обработка изображений
(издание3-е)ю Москва: Техносфера, 2012.
4.
Kolpashchikov D.Y., Laptev N.V., Manakov R.A., Danilov V.V., Gerget O.M.,
Meshcheryakov R.V. Motion Planning Algorithm for continuum Robots Bending over
Obstacles // III International Conference on Control in Technical Systems.
Saint
Petersburg, Russia: IEEE, 2019. P. 269–272.
5.
O. Mallaev, B. Azimov, Kuchkarov M., Ahmedova K.
Algorithm for Digital
Processing of Seismic Signals in Distributed Systems.
Lecture Notes in Computer
Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes
WWW.HUMOSCIENCE.COM
290
in
Bioinformatics)this
link
is
disabled, 2023,
13741
LNCS,
586–593.
https://doi.org/10.1007/978-3-031-27199-1_60
6.
H. Zaynidinov, O. Mallayev. Parallel Algorithm for Calculating the Learning
Processes of an Artificial Neural Network. AIP Conference
Proceedingsthis link is
disabled, 2022, 2647, 050006.
https://doi.org/10.1063/5.0104178