[Segmentation of ground glass pulmonary nodules ... | 寵物協尋網
由TDong著作·2022·被引用1次—ShanghaiChestHospital,Shanghai200030,P.R.China.PMID:35788513;DOI:10.7507/1001-5515.202010051.Abstract.
Accurate segmentation of ground glass nodule (GGN) is important in clinical. But it is a tough work to segment the GGN, as the GGN in the computed tomography images show blur boundary, irregular shape, and uneven intensity. This paper aims to segment GGN by proposing a fully convolutional residual network, i.e., residual network based on atrous spatial pyramid pooling structure and attention mechanism (ResAANet). The network uses atrous spatial pyramid pooling (ASPP) structure to expand the feature map receptive field and extract more sufficient features, and utilizes attention mechanism, residual connection, long skip connection to fully retain sensitive features, which is extracted by the convolutional layer. First, we employ 565 GGN provided by Shanghai Chest Hospital to train and validate ResAANet, so as to obtain a stable model. Then, two groups of data selected from clinical examinations (84 GGN) and lung imag...
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[Segmentation of ground glass pulmonary ... | 寵物協尋網
[Segmentation of ground glass pulmonary nodules ... | 寵物協尋網
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