A Few-Shot U-Net Deep Learning Model for COVID-19 Infected Area Segmentation in CT Images

Recent studies indicate that detecting radiographic patterns on CT chest scans can yield high sensitivity and specificity for COVID-19 identification. In this paper, we scrutinize the effectiveness of deep learning models for semantic segmentation of pneumonia-infected area segmentation in CT images...

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主要な著者:	Athanasios Voulodimos, Eftychios Protopapadakis, Iason Katsamenis, Anastasios Doulamis, Nikolaos Doulamis
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2021-03-01
シリーズ:	Sensors
主題:	deep learning few-shot learning semantic segmentation CT images COVID-19
オンライン･アクセス:	https://www.mdpi.com/1424-8220/21/6/2215
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