Adaptive morphology aided 2-pathway convolutional neural network for lung nodule classification-Reference-Cited by-同舟云学术

Adaptive morphology aided 2-pathway convolutional neural network for lung nodule classification

Published:2022-02 Issue: Volume:72 Page:103347
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Halder Amitava,Chatterjee Saptarshi,Dey Debangshu

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference41 articles.

1. World Health Organization. https://www.who.int/ (accessed 24 July 2021).

2. International Agency for Research on Cancer (IARC). https://www.iarc.who.int/ (accessed 24 July 2021).

3. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA: Cancer J. Clinic.,2021

4. American Cancer Society (ACS). https://www.cancer.org/ (accessed 30 July 2021).

5. American Cancer Society (ACS), Cancer facts and figures 2021. https://www.cancer.org/ (accessed 31 July 2021).

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