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Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
Zhanming Hu1, Tonglong Ren1, Meirong Ren1
1School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, China.
This study introduces a new method for precise pulmonary airway segmentation, improving accuracy and preventing leaks in lung disease diagnosis. The technique enhances diagnostic capabilities by refining image analysis of the lung
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