المؤلفون: Suri Jasjit S., Agarwal Sushant, Saba Luca, Chabert Gian Luca, Carriero Alessandro, Paschè Alessio, Danna Pietro, Mehmedović Armin, Faa Gavino, Jujaray Tanay, Singh Inder M., Khanna Narendra N., Laird John R., Nagy Ferenc Tamás, Kincses Zsigmond Tamás, Ruzsa Zoltán

مصطلحات موضوعية: 03.02. Klinikai orvostan

وصف الملف: text

Relation: http://publicatio.bibl.u-szeged.hu/24985/1/Suri2022.pdf; Suri Jasjit S.; Agarwal Sushant; Saba Luca; Chabert Gian Luca; Carriero Alessandro; Paschè Alessio; Danna Pietro; Mehmedović Armin; Faa Gavino; Jujaray Tanay; Singh Inder M.; Khanna Narendra N.; Laird John R.; Nagy Ferenc Tamás; Kincses Zsigmond Tamás; Ruzsa Zoltán: Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation. JOURNAL OF MEDICAL SYSTEMS, 46 (10). Terjedelem: 29 p.-Azonosító: 62. ISSN 0148-5598 (2022)

الاتاحة: http://publicatio.bibl.u-szeged.hu/24985/
http://publicatio.bibl.u-szeged.hu/24985/1/Suri2022.pdf
https://doi.org/10.1007/s10916-022-01850-y

المؤلفون: Suri, Jasjit S., Agarwal, Sushant, Saba, Luca, Chabert, Gian Luca, Carriero, Alessandro, Paschè, Alessio, Danna, Pietro, Mehmedović, Armin, Faa, Gavino, Jujaray, Tanay, Singh, Inder M., Khanna, Narendra N., Laird, John R., Sfikakis, Petros P., Agarwal, Vikas, Teji, Jagjit S., R Yadav, Rajanikant, Nagy, Ferenc, Kincses, Zsigmond Tamás, Ruzsa, Zoltan

المصدر: Journal of Medical Systems; Oct2022, Vol. 46 Issue 10, p1-29, 29p, 6 Color Photographs, 2 Black and White Photographs, 4 Diagrams, 8 Charts, 15 Graphs

مصطلحات موضوعية: DEEP learning, COMPUTERS in medicine, RESEARCH, COVID-19, LUNG diseases, RESEARCH methodology, DIAGNOSTIC imaging, BENCHMARKING (Management), AUTOMATION, DESCRIPTIVE statistics, COMPUTED tomography, SENSITIVITY & specificity (Statistics), EVALUATION

مصطلحات جغرافية: ITALY, CROATIA

المؤلفون: Tandel, Gopal S., Balestrieri, Antonella, Jujaray, Tanay, Khanna, Narender N., Saba, Luca, Suri, Jasjit S.

المصدر: Computers in Biology and Medicine ; volume 122, page 103804 ; ISSN 0010-4825

الاتاحة: http://dx.doi.org/10.1016/j.compbiomed.2020.103804
https://api.elsevier.com/content/article/PII:S0010482520301724?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S0010482520301724?httpAccept=text/plain

المؤلفون: Munjral, Smiksha, Maindarkar, Mahesh, Ahluwalia, Puneet, Puvvula, Anudeep, Jamthikar, Ankush, Jujaray, Tanay, Suri, Neha, Paul, Sudip, Pathak, Rajesh, Saba, Luca, Chalakkal, Renoh Johnson, Gupta, Suneet, Faa, Gavino, Singh, Inder M., Chadha, Paramjit S., Turk, Monika, Johri, Amer M., Khanna, Narendra N., Viskovic, Klaudija, Mavrogeni, Sophie

المصدر: Diagnostics (2075-4418); May2022, Vol. 12 Issue 5, pN.PAG-N.PAG, 39p

مصطلحات موضوعية: DIABETIC retinopathy, ARTIFICIAL intelligence, CARDIOVASCULAR diseases risk factors, DIABETES complications, CAROTID artery, CARDIOVASCULAR diseases