基于U-Net融合Transformer的肺结节分割方法研究OACSTPCD
Research on Pulmonary Nodule Segmentation Method Based on U-Net Combined with Transformer
目的 提出肺结节分割模型,实现肺结节分割.方法 在U-Net神经网络中加入编码器、空洞卷积以及Swin Transformer模块,提出一个将空洞卷积、编码器和注意力机制相结合的模型,并在LUNA16公共数据集上验证模型性能.结果 改进的模型在LUNA16公共数据集上进行肺结节分割的准确度(Accuracy,ACC)、特异性(Specificity,SP)、交并比(Intersection Over Union,IOU)和Dice系数(Dice …查看全部>>
Objective To propose a pulmonary nodule segmentation model to realize pulmonary nodule segmentation.Methods The encoder,hole convolution and Swin Transformer module were added to the U-Net neural network,and a model combining hole convolution,encoder and attention mechanism was proposed,and the performance of the model was verified on LUNA16 public data set.Results The accuracy(ACC),specificity(SP),intersection over union(IOU)and Dice similarity coefficient(…查看全部>>
李晓东;丁鹏
山东中医药大学智能与信息工程学院,山东 济南 250355山东中医药大学第二附属医院 后勤党总支,山东 济南 250001
计算机与自动化
肺结节肺结节分割U-Net神经网络Swin Transformer模块
pulmonary nodulepulmonary nodule segmentationU-Net neural networkSwim Transformer module
《中国医疗设备》 2024 (5)
31-36,98,7
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