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.

Mohit Agarwal 0003 Sushant Agarwal Luca Saba Gian Luca Chabert Suneet K. Gupta 0001 Alessandro Carriero Alessio Pasche Pietro Danna Armin Mehmedovic Gavino Faa Saurabh Shrivastava Kanishka Jain Harsh Jain Tanay Jujaray Inder M. Singh Monika Turk Paramjit S. Chadha Amer M. Johri Narendra N. Khanna Sophie Mavrogeni John R. Laird David W. Sobel Martin Miner Antonella Balestrieri Petros P. Sfikakis George Tsoulfas Durga Prasanna Misra Vikas Agarwal George D. Kitas Jagjit S. Teji Mustafa Al-Maini Surinder K. Dhanjil Andrew Nicolaides Aditya Sharma 0001 Vijay Rathore Mostafa Fatemi Azra Alizad Pudukode R. Krishnan Rajanikant R. Yadav Frence Nagy Zsigmond Tamás Kincses Zoltan Ruzsa Subbaram Naidu Klaudija Viskovic Manudeep K. Kalra Jasjit S. Suri 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. 105571 2022 146 Comput. Biol. Medicine https://doi.org/10.1016/j.compbiomed.2022.105571 db/journals/cbm/cbm146.html#AgarwalASCGCPDM22