Classification of Benign and Malignant Pulmonary Nodules Based on the Multiresolution 3D DPSECN Model and Semisupervised Clustering

Deep learning model training requires a large number of labeled samples, but the acquisition of labeled samples is time-consuming and laborious in the medical field. To solve this problem, a semisupervised clustering algorithm combined with a 3D convolutional neural network model is proposed to impr...

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Detalhes bibliográficos

Principais autores:	Siyuan Tang, Rong Ma, Qingqian Li, Yingchun Bai, Shijun Chen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2021-01-01
coleção:	IEEE Access
Assuntos:	Deep learning benign and malignant classification of pulmonary nodules semisupervised clustering algorithm multiresolution 3D dual path squeeze excitation deep learning network model LIDC-IDRI dataset
Acesso em linha:	https://ieeexplore.ieee.org/document/9357428/
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