Open Access
Issue |
BIO Web Conf.
Volume 124, 2024
The 2nd International Conference on Food Science and Bio-medicine (ICFSB 2024)
|
|
---|---|---|
Article Number | 02018 | |
Number of page(s) | 5 | |
Section | Biomedical and Clinical Medical Research | |
DOI | https://doi.org/10.1051/bioconf/202412402018 | |
Published online | 23 August 2024 |
- Kawiak, A.: Molecular Research and Treatment of Breast Cancer. Int J Mol Sci 23(17): 9617, 2022. doi: 10.3390/ijms23179617. [CrossRef] [PubMed] [Google Scholar]
- Jagsi R, Mason G, Overmoyer BA, Woodward WA, Badve S, Schneider RJ, Lang JE, Alpaugh M, Williams KP, Vaught D, Smith A, Smith K, Miller, K.D.; Susan G. Komen-IBCRF IBC Collaborative in partnership with the Milburn Foundation Inflammatory breast cancer defined: proposed common diagnostic criteria to guide treatment and research. Breast Cancer Res Treat 192(2):235–243, 2022. doi: 10.1007/s10549-021-06434-x. [CrossRef] [PubMed] [Google Scholar]
- Shan L, Wang W, Lv K, et al. Class-incremental Learning for Semantic Segmentation in Aerial Imagery via Distillation in All AspectsJ]. IEEE Transactions on Geoscience and Remote Sensing, 2021. [PubMed] [Google Scholar]
- Li M, Shan L, Li X, et al. Global-local attention network for semantic segmentation in aerial images[C]//2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 2021: 5704–5711. [Google Scholar]
- Chen L C, Zhu Y, Papandreou G, et al. Encoderdecoder with atrous separable convolution for semantic image segmentation[C]//Proceedings of the European conference on computer vision (ECCV). 2018: 801–818. [Google Scholar]
- Shan L, Li X, Wang W. Decouple the High- Frequency and Low-Frequency Information of Images for Semantic Segmentation[C]//ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021: 1805–1809. [CrossRef] [Google Scholar]
- Shan L, Li M, Li X, et al. UHRSNet: A Semantic Segmentation Network Specifically for Ultra-HighResolution Images[C]//2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 2021: 1460–1466. [CrossRef] [Google Scholar]
- Shan L, Wang W, Lv K, et al. Boosting Semantic Segmentation of Aerial Images via Decoupled and Multi-level Compaction and DispersionJ]. IEEE Transactions on Geoscience and Remote Sensing, 2023. [Google Scholar]
- Wu W, Zhao Y, Li Z, et al. Continual Learning for Image Segmentation with Dynamic QueryJ]. IEEE Transactions on Circuits and Systems for Video Technology, 2023. [PubMed] [Google Scholar]
- Shan L, Zhou W, Zhao G. Incremental Few Shot Semantic Segmentation via Class-agnostic Mask Proposal and Language-driven Classifier[C]//Proceedings of the 31st ACM International Conference on Multimedia. 2023: 8561–8570. [CrossRef] [Google Scholar]
- Shan L, Zhao G, Xie J, et al. A Data-Related Patch Proposal for Semantic Segmentation of Aerial ImagesJ]. IEEE Geoscience and Remote Sensing Letters, 2023, 20: 1–5. [Google Scholar]
- Zhao G, Shan L, Wang W. End-to-End Remote Sensing Change Detection of Unregistered Bitemporal Images for Natural Disasters[C]//International Conference on Artificial Neural Networks. Cham: Springer Nature Switzerland, 2023: 259–270. [Google Scholar]
- Shan L, Wang W, Lv K, et al. Boosting Semantic Segmentation of Aerial Images via Decoupled and Multi-level Compaction and DispersionJ]. IEEE Transactions on Geoscience and Remote Sensing, 2023. [Google Scholar]
- Shan L, Wang W, Lv K, et al. Class-Incremental Semantic Segmentation of Aerial Images via PixelLevel Feature Generation and Task-Wise DistillationJ]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1–17. [CrossRef] [Google Scholar]
- Shan L, Wang W. DenseNet-Based Land Cover Classification Network with Deep FusionJ]. IEEE Geoscience and Remote Sensing Letters, 2021, 19: 1–5. [Google Scholar]
- Shan L, Wang W. MBNet: A Multi-Resolution Branch Network for Semantic Segmentation of Ultra-High Resolution Images[C]//ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022: 2589–2593. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.