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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
Research article (Computers in Biology and Medicine, 2022) · cited 52× · AI/ML
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
Summary
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 is a scholarly article[1].
Key Facts
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's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). 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. Retrieved May 24, 2026, from https://4ort.xyz/entity/eight-pruning-deep-learning-models-for-low-storage-and-high-speed-covid-19-computed-tomography-lung-segmentation-and-hea
MLA“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.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/eight-pruning-deep-learning-models-for-low-storage-and-high-speed-covid-19-computed-tomography-lung-segmentation-and-hea.
BibTeX@misc{4ortxyz_eight-pruning-deep-learning-models-for-low-storage-and-high-speed-covid-19-computed-tomography-lung-segmentation-and-hea_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{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}}, year = {2026}, url = {https://4ort.xyz/entity/eight-pruning-deep-learning-models-for-low-storage-and-high-speed-covid-19-computed-tomography-lung-segmentation-and-hea}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 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 — https://4ort.xyz/entity/eight-pruning-deep-learning-models-for-low-storage-and-high-speed-covid-19-computed-tomography-lung-segmentation-and-hea (retrieved 2026-05-24)
