BLE-Net: boundary learning and enhancement network for polyp segmentation-Reference-Cited by-同舟云学术

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BLE-Net: boundary learning and enhancement network for polyp segmentation

Published:2022-02-25 Issue: Volume: Page:
ISSN:0942-4962
Container-title:Multimedia Systems
language:en
Short-container-title:Multimedia Systems

Author:

Ta Na,Chen Haipeng,Lyu Yingda^ORCID,Wu Taosuo

Funder

National Key Research and Development Program of China

Regional Joint Fund of NSFC

National Natural Science Foundation of China

Jilin Province Science and Technology Development Plan Project

Science and Technology Planning Project of Inner Mongolia

Natural Science Foundation of Inner Mongolia

Ph.D. Foundation of Hulunbuir University

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s00530-022-00900-2.pdf

Reference48 articles.

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2. Hao, S., Chen, T., Wang, Y., et al.: Adaptive multi-task dual-structured learning with its application on Alzheimer’s disease Study. ACM Trans. Internet Technol. 21(2), 1–16 (2021)

3. Ibtehaz, N., Rahman, M.S.: MultiResUNet: rethinking the U-Net architecture for multimodal biomedical image segmentation. Neural Netw. 121, 74–87 (2020). https://doi.org/10.1016/j.neunet.2019.08.025

4. Hao, S., Li, G., Wang, L., et al.: Learning-based topological correction for infant cortical surfaces. In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 219–227 (2016)

5. Wang, M., Yao, J., Zhang, G., Guan, B., Wang, X., Zhang, Y.: ParallelNet: multiple backbone network for detection tasks on thigh bone fracture. Multimed. Syst. 27(6), 1091–1100 (2021). https://doi.org/10.1007/s00530-021-00783-9

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