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Pregled bibliografske jedinice broj: 1154193

APPLICATION OF ARTIFICIAL INTELLIGENCE-BASED IMAGE ANALYSIS IN BIOINFORMATICS


Car, Zlatan; Anđelić, Nikola; Lorencin, Ivan; Musulin, Jelena; Štifanić, Daniel; Baressi Šegota, Sandi
APPLICATION OF ARTIFICIAL INTELLIGENCE-BASED IMAGE ANALYSIS IN BIOINFORMATICS // Book of proceedings 1st International Conference on Chemo and BioInformatics (ICCBIKG 2021) / Zoran Marković, Nenad Filipović (ur.).
Kragujevac: Institute for Information Technologies, University of Kragujevac, 2021. str. 47-54 (plenarno, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1154193 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
APPLICATION OF ARTIFICIAL INTELLIGENCE-BASED IMAGE ANALYSIS IN BIOINFORMATICS

Autori
Car, Zlatan ; Anđelić, Nikola ; Lorencin, Ivan ; Musulin, Jelena ; Štifanić, Daniel ; Baressi Šegota, Sandi

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Book of proceedings 1st International Conference on Chemo and BioInformatics (ICCBIKG 2021) / Zoran Marković, Nenad Filipović - Kragujevac : Institute for Information Technologies, University of Kragujevac, 2021, 47-54

ISBN
978-86-82172-00-0

Skup
1st International Conference on Chemo and BioInformatics

Mjesto i datum
Kragujevac, Srbija, 26-27.10.2021

Vrsta sudjelovanja
Plenarno

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
artificial intelligence, computer vision, machine learning, smart diagnostics

Sažetak
The collection of image data is an extremely common procedure in clinical practice today. Many of the diagnostic approaches generate such data – computed tomography (CT), X-ray radiography, magnetic resonance imaging (MRI), and others. This data collection process allows for the use of computer vision approaches to be applied with the goal of analysis and diagnostics. Artificial Intelligence (AI) based algorithms have repeatedly been shown to be the best performing computer vision algorithms, in many fields including medicine. AI-based – or more precisely machine learning (ML) based, algorithms have capabilities which allow them to learn the patterns contained in the data from the data itself. Among the best performing algorithms are artificial neural networks (ANNs), or more precisely convolutional neural networks (CNNs). Their pitfall is the need for the large amounts of data – but as it has been previously mentioned, the amount of data collected in today’s clinical practice is large and ever increasing. This allows for the development of Smart Diagnostic systems which are meant to serve as support systems to the health professionals. In this paper first, the standard practices and review of the field is given – with the focus on challenges and best practices. Then, multiple examples of the research applying AI-based algorithm analysis are given – including diagnostics of various cancer types (bladder and oral) as well as COVID-19 severity diagnostics and image quality determination.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Temeljne medicinske znanosti, Kliničke medicinske znanosti



POVEZANOST RADA


Projekti:
NadSve-Sveučilište u Rijeci-uniri-tehnic-18-275-1447 - Razvoj inteligentnog ekspertnog sustava za online diagnostiku raka mokračnog mjehura (Car, Zlatan, NadSve - UNIRI potpore) ( POIROT)
EK-EFRR-KK.01.2.2.03.0004 - Centar kompetencija za pametne gradove (CEKOM) (Car, Zlatan; Slavić, Nataša; Vilke, Siniša, EK - KK.01.2.2.03) ( POIROT)
InoUstZnVO-CIII-HR-0108-10 - Concurrent Product and Technology Development - Teaching, Research and Implementation of Joint Programs Oriented in Production and Industrial Engineering (Car, Zlatan, InoUstZnVO - CEEPUS) ( POIROT)
EK-KF-KK.01.1.1.01.009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (DATACROSS) (Lončarić, Sven; Petrović, Ivan; Šmuc, Tomislav; Jokić, Andrej, EK - KK.01.1.1.01) ( POIROT)

Ustanove:
Tehnički fakultet, Rijeka

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada

Citiraj ovu publikaciju:

Car, Zlatan; Anđelić, Nikola; Lorencin, Ivan; Musulin, Jelena; Štifanić, Daniel; Baressi Šegota, Sandi
APPLICATION OF ARTIFICIAL INTELLIGENCE-BASED IMAGE ANALYSIS IN BIOINFORMATICS // Book of proceedings 1st International Conference on Chemo and BioInformatics (ICCBIKG 2021) / Zoran Marković, Nenad Filipović (ur.).
Kragujevac: Institute for Information Technologies, University of Kragujevac, 2021. str. 47-54 (plenarno, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Car, Z., Anđelić, N., Lorencin, I., Musulin, J., Štifanić, D. & Baressi Šegota, S. (2021) APPLICATION OF ARTIFICIAL INTELLIGENCE-BASED IMAGE ANALYSIS IN BIOINFORMATICS. U: Zoran Marković, N. (ur.)Book of proceedings 1st International Conference on Chemo and BioInformatics (ICCBIKG 2021).
@article{article, author = {Car, Zlatan and An\djeli\'{c}, Nikola and Lorencin, Ivan and Musulin, Jelena and \v{S}tifani\'{c}, Daniel and Baressi \v{S}egota, Sandi}, editor = {Zoran Markovi\'{c}, N.}, year = {2021}, pages = {47-54}, keywords = {artificial intelligence, computer vision, machine learning, smart diagnostics}, isbn = {978-86-82172-00-0}, title = {APPLICATION OF ARTIFICIAL INTELLIGENCE-BASED IMAGE ANALYSIS IN BIOINFORMATICS}, keyword = {artificial intelligence, computer vision, machine learning, smart diagnostics}, publisher = {Institute for Information Technologies, University of Kragujevac}, publisherplace = {Kragujevac, Srbija} }
@article{article, author = {Car, Zlatan and An\djeli\'{c}, Nikola and Lorencin, Ivan and Musulin, Jelena and \v{S}tifani\'{c}, Daniel and Baressi \v{S}egota, Sandi}, editor = {Zoran Markovi\'{c}, N.}, year = {2021}, pages = {47-54}, keywords = {artificial intelligence, computer vision, machine learning, smart diagnostics}, isbn = {978-86-82172-00-0}, title = {APPLICATION OF ARTIFICIAL INTELLIGENCE-BASED IMAGE ANALYSIS IN BIOINFORMATICS}, keyword = {artificial intelligence, computer vision, machine learning, smart diagnostics}, publisher = {Institute for Information Technologies, University of Kragujevac}, publisherplace = {Kragujevac, Srbija} }




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