Automated Quantification of Pneumonia Infected Volume in Lung CT Images: A Comparison with Subjective Assessment of Radiologists.

Seyedehnafiseh Mirniaharikandehei,Alireza Abdihamzehkolaei,Angel Choquehuanca,Marco Aedo,Wilmer Pacheco,Laura Estacio,Victor Cahui,Luis Huallpa,Kevin Quiñonez,Valeria Calderón,Ana Maria Gutierrez,Ana Vargas,Dery Gamero,Eveling Castro-Gutierrez,Yuchen Qiu,Bin Zheng,Javier A Jo

Bioengineering (Basel, Switzerland)（2023）

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摘要

This study demonstrates the feasibility of developing a new DL model to automatically segment disease-infected regions and quantitatively predict disease severity, which may help avoid tedious effort and inter-reader variability in subjective assessment of disease severity in future clinical practice.

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关键词

COVID-19 detection,COVID-19 severity assessment,comparison between manual and automated image segmentation,deep neural network,infected lung segmentation,quantification of lung disease severity

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