COVLIAS 1.0Lesion vs. MedSeg : An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans

Suri Jasjit S and Agarwal Sushant and Chabert Gian Luca and Carriero Alessandro and Paschè Alessio and Danna Pietro S. C. and Saba Luca and Mehmedovic Armin and Faa Gavino and Singh Inder M. and Turk Monika and Chadha Paramjit S. and Johri Amer M. and Nagy Ferenc Tamás and Ruzsa Zoltán: COVLIAS 1.0Lesion vs. MedSeg : An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans.
DIAGNOSTICS, 12 (5). Terjedelem: 34 p.-Azonosító: 1283. ISSN 2075-4418 (2022)

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Creators:
Suri Jasjit S
Agarwal Sushant
Chabert Gian Luca
Carriero Alessandro
Paschè Alessio
Danna Pietro S. C.
Saba Luca
Mehmedovic Armin
Faa Gavino
Singh Inder M.
Turk Monika
Chadha Paramjit S.
Johri Amer M.
Nagy Ferenc Tamás MTMT
Ruzsa Zoltán MTMT
Item Type: Journal Article
Szerzők száma: 41
Journal or Publication Title: DIAGNOSTICS
Date: 2022
Volume: 12
Number: 5
Page Range: Terjedelem: 34 p.-Azonosító: 1283
ISSN: 2075-4418
Faculty/Unit: Albert Szent-Györgyi Medical School
Institution: University of Szeged (2000-)
Language: English
MTMT rekordazonosító: 32913495
DOI azonosító: https://doi.org/10.3390/diagnostics12051283
Date Deposited: 2022. Jul. 01. 09:57
Last Modified: 2022. Jul. 01. 10:00
URI: http://publicatio.bibl.u-szeged.hu/id/eprint/24631
Web of Science® Times Cited: 16 View citing articles in Web of Science®

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