Lung Nodule CT Image Segmentation Model Based on Multiscale Dense Residual Neural Network
To solve the problem of the low segmentation accuracy of lung nodule CT images using U-Net, an improved method for segmentation of lung nodules by U-Net was proposed. Initially, the dense network connection and sawtooth expanded convolution design was added to the feature extraction part, and a loca...
Main Authors: | Xinying Zhang, Shanshan Kong, Yang Han, Baoshan Xie, Chunfeng Liu |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/11/6/1363 |
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