Automatic lung segmentation in CT scans using guided filtering-Reference-Cited by-同舟云学术

Automatic lung segmentation in CT scans using guided filtering

Published:2022-09-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 9th International Conference on Bioinformatics Research and Applications
language:
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Author:

Revy Gabor¹^ORCID,Hadhazi Daniel¹^ORCID,Hullam Gabor¹^ORCID

Affiliation:

1. Department of Measurement and Information Systems, Budapest University of Technology and Economics, Hungary

Funder

National Research, Development and Innovation Fund Hungary

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3569192.3569209

Reference32 articles.

1. Modified Density-Based Data Clustering for Interactive Liver Segmentation

2. Liang-Chieh Chen , George Papandreou , Iasonas Kokkinos , Kevin Murphy , and Alan L Yuille . 2017 . Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs . IEEE transactions on pattern analysis and machine intelligence 40, 4(2017), 834–848. Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille. 2017. Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE transactions on pattern analysis and machine intelligence 40, 4(2017), 834–848.

3. Constant-radius blending in surface modelling

4. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

5. Timothy F Cootes , Christopher J Taylor , David H Cooper , and Jim Graham . 1995. Active shape models-their training and application. Computer vision and image understanding 61, 1 ( 1995 ), 38–59. Timothy F Cootes, Christopher J Taylor, David H Cooper, and Jim Graham. 1995. Active shape models-their training and application. Computer vision and image understanding 61, 1 (1995), 38–59.