Open Access
| Issue |
BIO Web Conf.
Volume 111, 2024
2024 6th International Conference on Biotechnology and Biomedicine (ICBB 2024)
|
|
|---|---|---|
| Article Number | 03020 | |
| Number of page(s) | 5 | |
| Section | Medical Testing and Health Technology Integration | |
| DOI | https://doi.org/10.1051/bioconf/202411103020 | |
| Published online | 31 May 2024 | |
- Bray F, Laversanne M, Weiderpass E, et al. (2021) The ever-increasing importance of cancer as a leading cause of premature death worldwide. Cancer, 127(16):3029–3030. [CrossRef] [PubMed] [Google Scholar]
- Zheng R, Zhang S, Sun K, et al. (2023) Cancer statistics in China, 2016 [J]. Chinese Journal of Oncology, 45(3): 212–220. [Google Scholar]
- Zhang G, Chen X, Zhao Y, et al. (2022) Lightweight YOLOv3 Algorithm for Small Object Detection. Laser & Optoelectronics Progress, 59(16)152–160. [Google Scholar]
- Song Y. (2023) Application Progress of Artificial Intelligence Deep Learning in Gastric Cancer. Guide of China Medicine, 21(28)63–66. [Google Scholar]
- Ronneberger O, Fischer P, Brox T. (2015) U-Net: convolutional networks for biomedical image segmentation. In Medical Image Computing and Computer Assisted Intervention (MICCAI), 3:234–241. [Google Scholar]
- Li W, Qian X, Ji J. (2017) Noise-tolerant deep learning for histopathological image segmentation. In 2017 IEEE International Conference on Image Processing (ICIP), IEEE, 3075–3079. [CrossRef] [Google Scholar]
- Yi F, Yang L, Wang S, et al. (2018) Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks. BMC bioinformatics, 19(1):1–9. [CrossRef] [PubMed] [Google Scholar]
- Azad R,Asadi-aghbolaghi M, Fathy M, et al. (2019) Bi-Directional ConvLSTM U-Net with densley connected convolutions. arXiv: image and video processing. [Google Scholar]
- Wu T, Tang S, Zhang R, et al. (2020) CGnet: A Light-Weight Context Guided Network for Semantic Segmentation. IEEE Transactions on lmage Processing, 30:1169–1179. [Google Scholar]
- Zhang Y, Li Y, HE D. (2023) U-shaped network with multi-scale feature extraction for lesion region segmentation in gastric cancer images. In 2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), 234–238. [Google Scholar]
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