SE-ResNet based vulnerable plaque recognition in IVOCT images

Author:

Qi Wenliu1ORCID,Du Sihui2ORCID,Tang Xiaoying1ORCID,Wang Ancong1ORCID

Affiliation:

1. School of Life Science, Beijing Institute of Technology, China

2. National SuperComputer Center in Tianjin, National SuperComputer Center in Tianjin, China

Publisher

ACM

Reference15 articles.

1. Subban Vijayakumar , Owen Christopher Raffel. Optical coherence tomography: fundamentals and clinical utility[J]. Cardiovascular diagnosis and therapy , 2020 , 10(5): 1389-1414. Subban Vijayakumar, Owen Christopher Raffel. Optical coherence tomography: fundamentals and clinical utility[J]. Cardiovascular diagnosis and therapy, 2020, 10(5): 1389-1414.

2. Advances in Intravascular Imaging: New Insights into the Vulnerable Plaque from Imaging Studies

3. Prognostic impact of healed coronary plaque in non-culprit lesions assessed by optical coherence tomography

4. Shenghua He Zheng Jie Maehara Akiko Convolutional neural network based automatic plaque characterization for intracoronary optical coherence tomography images[M]. 2018: 107.. Shenghua He Zheng Jie Maehara Akiko Convolutional neural network based automatic plaque characterization for intracoronary optical coherence tomography images[M]. 2018: 107..

5. Dario- A-B Oliveira , MacEdo Maysa-M-G, Nicz Pedro , Coronary calcification identification in optical coherence tomography using convolutional neural networks. Progress in Biomedical Optics and Imaging - Proceedings of SPIE[C] . Houston, TX , United states: SPIE , 2018 . Dario-A-B Oliveira, MacEdo Maysa-M-G, Nicz Pedro, Coronary calcification identification in optical coherence tomography using convolutional neural networks. Progress in Biomedical Optics and Imaging - Proceedings of SPIE[C]. Houston, TX, United states: SPIE, 2018.

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