Special Convolutional Neural Network for Identification and Positioning of Interstitial Lung Disease Patterns in Computed Tomography Images-Reference-Cited by-同舟云学术

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Special Convolutional Neural Network for Identification and Positioning of Interstitial Lung Disease Patterns in Computed Tomography Images

Published:2021-10 Issue:4 Volume:31 Page:730-738
ISSN:1054-6618
Container-title:Pattern Recognition and Image Analysis
language:en
Short-container-title:Pattern Recognit. Image Anal.

Author:

Sunita Agarwala ,Kumar Abhishek,Dhara Ashis Kumar,Thakur Sumitra Basu,Sadhu Anup,Nandi Debashis

Publisher

Pleiades Publishing Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Link

https://link.springer.com/content/pdf/10.1134/S1054661821040027.pdf

Reference35 articles.

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2. M. Anthimopoulos, S. Christodoulidis, L. Ebner, A. Christe, and S. Mougiakakou, “Lung pattern classification for interstitial lung diseases using a deep convolutional neural network,” IEEE Trans. Med. Imaging 35, 1207–1216 (2016). https://doi.org/10.1109/TMI.2016.2535865

3. U. Bagci, J. Yao, A. Wu, J. Caban, T. N. Palmore, A. F. Suffredini, O. Aras, and D. J. Mollura, “Automatic detection and quantification of tree-in-bud (TIB) opacities from CT scans,” IEEE Trans. Biomed. Eng. 59, 1620–1632 (2012). https://doi.org/10.1109/TBME.2012.2190984

4. G. Chassagnon, M. Vakalopoulou, E. Battistella, S. Christodoulidis, T. N. Hoang-Thi, S. Dangeard, E. Deutsch, et al., “AI-driven quantification, staging, and outcome prediction of COVID-19 pneumonia,” Med. Image Anal. 67, 101860 (2021). https://doi.org/10.1016/j.media.2020.101860

5. A. Depeursinge, D. V. Ville, A. Platon, A. Geissbuhler, P. A. Poletti, and H. Muller, “Near-affine-invariant texture learning for lung tissue analysis using isotropic wavelet frames,” IEEE Trans. Inf. Technol. Biomed. 16, 665–675 (2012). https://doi.org/10.1109/TITB.2012.2198829

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1. Transformer based multiple superpixel-instance learning for weakly supervised segmenting lesions of interstitial lung disease;Expert Systems with Applications;2024-11

2. Segmentation and Classification of Interstitial Lung Diseases Based on Hybrid Deep Learning Network Model;IEEE Access;2024

3. ViT-ILD: A Vision Transformer-based Neural Network for Detection of Interstitial Lung Disease from CT Images;Procedia Computer Science;2024

4. DNN-ILD: A Transfer Learning-Based Deep Neural Network for Automated Classification of Interstitial Lung Disease from CT Images;Signals and Communication Technology;2024

5. Advancements in Interstitial Lung Disease Classification and Segmentation: A Comprehensive Review;2023 Second International Conference on Advances in Computational Intelligence and Communication (ICACIC);2023-12-07

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