Image segmentation method, device and equipment and storage medium
The invention discloses an image segmentation method and device, equipment and a storage medium, and the method comprises the steps: improving the network structure of a full convolution network FCN,building the residual connection between all feature extraction units of a feature extraction network...
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Main Authors | , , |
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Format | Patent |
Language | Chinese English |
Published |
09.02.2021
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses an image segmentation method and device, equipment and a storage medium, and the method comprises the steps: improving the network structure of a full convolution network FCN,building the residual connection between all feature extraction units of a feature extraction network of the FCN, carrying out training of the structure-improved FCN based on sample data, and obtaining a trained FCN. Therefore, when the to-be-segmented image is processed through the trained FCN, the segmentation accuracy of the pixel level of the to-be-segmented image can be improved, and the to-be-segmented image and the sample data are medical image data.
本申请公开了一种图像分割方法、装置、设备以及存储介质,在本申请中,改进了全卷积网络FCN的网络结构,在FCN的特征提取网络的每一特征提取单元之间建立残差连接,并基于样本数据对结构改进的FCN进行训练,得到训练完成的FCN,如此,通过训练完成的FCN对待分割图像处理时,可以改善对待分割图像的像素级别的分割精准度,其中,待分割图像以及样本数据,均为医疗图像数据。 |
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Bibliography: | Application Number: CN202110021474 |