Deep Learning-Based Diagnosis of Lung Abnormalities on X-ray images: A Comparative Study of U-Net and Sequential CNN Models-Reference-Cited by-同舟云学术

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Deep Learning-Based Diagnosis of Lung Abnormalities on X-ray images: A Comparative Study of U-Net and Sequential CNN Models

Published:2023-08-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing
language:
Short-container-title:

Author:

K Bhavani¹^ORCID,A Shashank¹^ORCID,T Gopalakrishna M²^ORCID

Affiliation:

1. Dept. of ISE, Dayananda Sagar College of Engineering, India

2. Dept. of AI & ML, SJB Institute of Technology, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3607947.3607949

Reference19 articles.

1. Lung cancer screening: current status and perspectives;Lee H.;The Korean Journal of Internal Medicine,2021

2. A comprehensive survey on deep learning in medical imaging analysis;Wu Q.;Neurocomputing,2020

3. Chen , H. , Qi , X. , Yu , L. , Dou , Q. , Qin , J. , & Heng , P. A. Recent advances in pixel-wise semantic segmentation for medical imaging. Journal of healthcare engineering , 2021 , 1-21,2021 Chen, H., Qi, X., Yu, L., Dou, Q., Qin, J., & Heng, P. A. Recent advances in pixel-wise semantic segmentation for medical imaging. Journal of healthcare engineering, 2021, 1-21,2021

4. Feature Visualization

5. U-Net: Convolutional Networks for Biomedical Image Segmentation

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