Chest X-ray Image Quality Control via Transformer and Label Correlation Regularization Loss-Reference-Cited by-同舟云学术

Chest X-ray Image Quality Control via Transformer and Label Correlation Regularization Loss

Published:2023-10-20 Issue: Volume: Page:258-264
ISSN:
Container-title:Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science
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Author:

Liu Ming¹^ORCID,Huang Lili²^ORCID,Jiang Bo²^ORCID,Li Chuanfu³^ORCID,Tang Jin²^ORCID

Affiliation:

1. AHU-IAI AI Joint Laboratory, Anhui University, China

2. The School of Computer Science and Technology, Anhui University, China

3. The First Affiliated Hospital of Anhui University of Chinese Medicine, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3644116.3644162

Reference22 articles.

1. Bennett, C.M., Miller, M.B.: How reliable are the results from functional magnetic resonance imaging? Annals of the new York Academy of Sciences 1191(1), 133–155. 2010.

2. Chen, Z., Shen, Y., Song, Y., Wan, X.: Cross-modal memory networks for radiology report generation. arXiv preprint arXiv:2204.13258. 2022.

3. Chen, Z., Song, Y., Chang, T.H., Wan, X.: Generating radiology reports via memory-driven transformer. arXiv preprint arXiv:2010.16056. 2020.

4. Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., : An image is worth 16x16 words: Transformers for image recognition at scale. arxiv 2020. arXiv preprint arXiv:2010.11929. 2010.

5. Estienne, T., Vakalopoulou, M., Battistella, E., Carré, A., Henry, T., Lerousseau, M., Robert, C., Paragios, N., Deutsch, E. Deep learning based registration using spatial gradients and noisy segmentation labels. In: Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data: MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings 23 (pp. 87-93). Springer International Publishing. 2021.