DEVELOPMENT OF AN APPLICATION FOR ESTIMATING THE PRESENCE OF COVID-19 FROM X-RAY IMAGES USING MACHINE LEARNING
DOI:
https://doi.org/10.24867/11BE20StojanovicKeywords:
iOS programming, machine learning, X-rays, COVID-19Abstract
In this paper, main functionalities of frameworks and tools for using machine learning in iOS mobile applications, as well as theoretical besis of machine learning are decribed. iOS mobile application is created, in which model of machine learning is used for detecting COVID-19 desease using X-ray images.
References
[1] Tulin Ozturk a, Muhammed Talo b, Eylul Azra Yildirim, Automated detection of COVID-19 cases using deep neural networks with X-ray images, Computers in Biology and Medicine
[2] https://github.com/ieee8023/covid-chestxray-dataset
[3] https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia
[4] https://expertsystem.com/machine-learning-definition/
[5] Mars Geldard, Jonathon Manning, Paris Buttfield-Addison, Tim Nugent, Practical Artificial Intelligencewith Swift From Fundamental Theory to Development of AI Driven Apps
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[7] Marko M. Dabović, Igor I. Tartalja, Duboke konvolucijske neuronske mreže– koncepti i aktuelna istraživanja, Zbornik 61. Konferencije za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, ETRAN 2017
[8] https://heartbeat.fritz.ai/machine-learning-on-mobile-what-can-you-actually-do-with-it-8437fa782165
[9] Mars Geldard, Jonathon Manning, Paris Buttfield-Addison, Tim Nugent, Practical Artificial Intelligencewith Swift From Fundamental Theory to Development of AI Driven Apps
[10] https://developer.apple.com/documentation/coreml
[11] https://developer.apple.com/documentation/vision
[12] Matthijs Hollemans, Chris LaPollo and Audrey Tam, Machine Learning by Tutorials, Razeware LLC, 2018
[2] https://github.com/ieee8023/covid-chestxray-dataset
[3] https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia
[4] https://expertsystem.com/machine-learning-definition/
[5] Mars Geldard, Jonathon Manning, Paris Buttfield-Addison, Tim Nugent, Practical Artificial Intelligencewith Swift From Fundamental Theory to Development of AI Driven Apps
[6] Nenad Živić, Učenje vektorske reprezentacije reči govornog jezika primenom dubokih neuronskih mreža, Prirodno matematički fakultet, Univerzitet u Nišu, 2015
[7] Marko M. Dabović, Igor I. Tartalja, Duboke konvolucijske neuronske mreže– koncepti i aktuelna istraživanja, Zbornik 61. Konferencije za elektroniku, telekomunikacije, računarstvo, automatiku i nuklearnu tehniku, ETRAN 2017
[8] https://heartbeat.fritz.ai/machine-learning-on-mobile-what-can-you-actually-do-with-it-8437fa782165
[9] Mars Geldard, Jonathon Manning, Paris Buttfield-Addison, Tim Nugent, Practical Artificial Intelligencewith Swift From Fundamental Theory to Development of AI Driven Apps
[10] https://developer.apple.com/documentation/coreml
[11] https://developer.apple.com/documentation/vision
[12] Matthijs Hollemans, Chris LaPollo and Audrey Tam, Machine Learning by Tutorials, Razeware LLC, 2018
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Published
2020-12-26
Issue
Section
Electrotechnical and Computer Engineering
