Pregled bibliografske jedinice broj: 1131617
Multiple medical images extraction from DICOM and conversion to JPG using Python
Multiple medical images extraction from DICOM and conversion to JPG using Python // Ri-STEM-2021 Proceedings / Lorencin, Ivan ; Baressi Šegota, Sandi ; Car, Zlatan (ur.).
Rijeka, Hrvatska, 2021. str. 33-37 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Multiple medical images extraction from DICOM and conversion to JPG using Python
(Multiple medical images extraction from DICOM and
conversion to JPG using Python)
Autori
Tajana Cvija, Karlo Severinski
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Ri-STEM-2021 Proceedings
/ Lorencin, Ivan ; Baressi Šegota, Sandi ; Car, Zlatan - , 2021, 33-37
ISBN
978-953-8246-22-7
Skup
International Student Scientific Conference (Ri-STEM 2021)
Mjesto i datum
Rijeka, Hrvatska, 10.06.2021. - 11.06.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
DICOM, JPG, Python
Sažetak
The Digital Imaging and Communications in Medicine (DICOM) is the standard method for the transmission and storage of medical images and their associated information. However, it is not readable by every software. The goal of this study was to extract medical images from multiple .dcm files at once and convert them into the more popular .jpg format. The extraction and conversion were done by using programming language Python. Multiple files were successfully converted and stored in .jpg format of the satisfying quality and the output data could easily be displayed by any image viewing software. The output data can be henceforward used with the annotation tools and artificial intelligence to diagnose lung cancer or other diseases.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti
POVEZANOST RADA
Ustanove:
Tehnički fakultet, Rijeka