An improved CNN-based architecture for automatic lung nodule classification-Reference-Cited by-同舟云学术

An improved CNN-based architecture for automatic lung nodule classification

Published:2022-05-07 Issue:7 Volume:60 Page:1977-1986
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Mahmood Sozan Abdullah^ORCID,Ahmed Hunar Abubakir

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11517-022-02578-0.pdf

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3. da Silva GLF, Valente TLA, Silva AC, de Paiva AC, Gattass M (2018) Convolutional neural network-based PSO for lung nodule false positive reduction on CT images. Comput Methods Programs Biomed 162:109–118. https://doi.org/10.1016/j.cmpb.2018.05.006

4. da Nóbrega RVM, Rebouças Filho PP, Rodrigues MB, da Silva SPP, Dourado Júnior CMJM, de Albuquerque VHC (2018) Lung nodule malignancy classification in chest computed tomography images using transfer learning and convolutional neural networks. Neural Comput. https://link.springer.com/article/. https://doi.org/10.1007/s00521-018-3895-1. Accessed Feb 2019

5. Winkels M, Cohen TS (2019) Pulmonary nodule detection in CT scans with equivariant CNNs. Med Image Anal 55:15–26. https://doi.org/10.1016/j.media.2019.03.010

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