论文信息 - 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 - 字舞流文

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

David W. Sobel | Paramjit S. Chadha | J. Suri | L. Saba | S. Dhanjil | G. Kitas | M. Fatemi | Z. Kincses | M. Agarwal | N. N. Khanna | S. Mavrogeni | P. Sfikakis | G. Faa | A. Alizad | S. Gupta | M. Miner | A. Carriero | D. Misra | A. Balestrieri | Alessio Pasché | V. Agarwal | K. Višković | Saurabh Shrivastava | A. Johri | Z. Ruzsa | M. Al-Maini | M. Turk | P. Chadha | G. Tsoulfas | J. Teji | Andrew Nicolaides | John R. Laird | Aditya M. Sharma | Pietro S C Danna | Sushant Agarwal | Gian Luca Chabert | Armin Mehmedović | Kanishka D Jain | Harsh Jain | Tanay Jujaray | Inder M. Singh | V. Rathore | Pudukode R. Krishnan | Rajanikant R. Yadav | F. Nagy | S. Naidu | Manudeep K. Kalra | P. R. Krishnan | Kanishka Jain | Vijay Rathore | Jagjit S. Teji | N. Khanna | Andrew N. Nicolaides | A. Nicolaides | Mustafa Al-Maini