RAZVOJ APLIKACIJE ZA PROCENU PRISUSTVA COVID-19 IZ RENDGENSKIH SLIKA PRIMENOM MAŠINSKOG UČENJA
DOI:
https://doi.org/10.24867/11BE20StojanovicKljučne reči:
iOS programiranje, mašinsko učenje, rendgenski snimci, COVID-19Apstrakt
U radu je dat opis osnovnih funkcionalnosti biblioteka i alata, koij omogućavaju primenu mašinskog učenja u iOS mobilnim aplikacijama, kao i teorijske osnove mašinskog učenja. Kreirana je iOS mobilna aplikacija u kojoj je primenjen model mašinskog učenja, koji detektuje pristustvo COVID-19 bolesti na osnovu rendgenskog snimka pluća.
Reference
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[2] https://github.com/ieee8023/covid-chestxray-dataset
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[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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Objavljeno
2020-12-26
Broj časopisa
Rubrika
Elektrotehničko i računarsko inženjerstvo
