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

Jasjit S. Suri,Sushant Agarwal,Gian Luca Chabert,Alessandro Carriero,Alessio Pasche,Pietro S. C. Danna,Luca Saba,Armin Mehmedovic,Gavino Faa,Inder M. Singh,Monika Turk,Paramjit S. Chadha,Amer M. Johri,Narendra N. Khanna,Sophie Mavrogeni,John R. Laird,Gyan Pareek,Martin Miner,David W. Sobel,Antonella Balestrieri,Petros P. Sfikakis,George Tsoulfas,Athanasios D. Protogerou,Durga Prasanna Misra,Vikas Agarwal,George D. Kitas,Jagjit S. Teji,Mustafa Al-Maini,Surinder K. Dhanjil,Andrew Nicolaides,Aditya Sharma,Vijay Rathore,Mostafa Fatemi,Azra Alizad,Pudukode R. Krishnan,Ferenc Nagy,Zoltan Ruzsa,Mostafa M. Fouda,Subbaram Naidu,Klaudija Viskovic,Manudeep K. Kalra

Diagnostics（2022）

Cited 14|Views45
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Key words
COVID-19,computed tomography,COVID lesions,ground-glass opacities,segmentation,hybrid deep learning
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