학술논문
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0
Document Type
Article
Author
Agarwal, M.; Gupta, S.; Shrivastava, S.; Jain, K.; Jain, H.; Suri, J.S.; Agarwal, S.; Saba, L.; Chabert, G.L.; Carriero, A.; Balestrieri, A.; Pasche, A.; Danna, P.; Mehmedovic, A.; Viskovic, K.; Faa, G.; Turk, M.; Johri, A.M.; Khanna, N.N.; Mavrogeni, S.; Laird, J.R.; Sobel, D.W.; Miner, M.; Sfikakis, P.P.; Tsoulfas, G.; Misra, D.P.; Agarwal, V.; Kitas, G.D.; Teji, J.S.; Al-Maini, M.; Singh, I.M.; Chadha, P.S.; Dhanjil, S.K.; Rathore, V.; Nicolaides, A.; Sharma, A.; Fatemi, M.; Alizad, A.; Krishnan, P.R.; Yadav, R.R.; Nagy, F.; Kincses, Z.T.; Ruzsa, Z.; Naidu, S.; Kalra, M.K.; Jujaray, T.
Source
In: Computers in Biology and Medicine . (Computers in Biology and Medicine, July 2022, 146)
Subject
Language
English
ISSN
18790534
00104825
00104825