Design of lung nodules segmentation and recognition algorithm based on deep learning

Design of lung nodules segmentation and recognition algorithm based on deep learning

Background: Accurate segmentation and recognition algorithm of lung nodules has great important value of reference for early diagnosis of lung cancer. An algorithm is proposed for 3D CT sequence images in this paper based on 3D Res U-Net segmentation network and 3D ResNet50 classification network. T...

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Bibliographic Details
Main Authors: Cao, Y. (Author), Li, J. (Author), Sun, J. (Author), Yu, H. (Author), Yu, X. (Author), Zhang, L. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
3D modeling
algorithm
Algorithms
Biological organs
Computerized tomography
Convolution
Convolutional neural network
Convolutional neural networks
Deep learning
Deep Learning
Diagnosis
diagnostic imaging
human
Humans
Image classification
image processing
Image Processing, Computer-Assisted
Image segmentation
Images classification
Images segmentations
Important value
lung
Lung
Lung Neoplasms
Lung nodule
Lung nodule segmentation
lung tumor
Neural Networks, Computer
Recognition algorithm
Residual learning
Segmentation algorithms
Tomography, X-Ray Computed
U-net
U-Net
x-ray computed tomography
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