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,Sushant Agarwal,Luca Saba,Gian Luca Chabert,Suneet Gupta,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

Computers in Biology and Medicine（2022）

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摘要

•Eight evolutional algorithms (EA) based on Deep Learning for reduced storage and high speed.•Multicenter study with 9,000 CT slices.•COVID-19 based CT lung segmentation and lesion localization.•Benchmarking against the EA against MedSeg (web-based tool).•Statistical analysis for reliability and stability, including comprehensive data analysis.

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关键词

COVID-19,Lung CT,Hounsfield units,Glass ground opacities,AI,Deep learning,Pruning,Lung segmentation

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