CPSNet: a cyclic pyramid-based small lesion detection network-Reference-Cited by-同舟云学术

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CPSNet: a cyclic pyramid-based small lesion detection network

Published:2023-10-06 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Zhu Yan,Liu Zhe,Song Yuqing,Han Kai,Qiu Chengjian,Tang YangYang,Zhang Jiawen,Liu Yi

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Six Talent Peaks Project in Jiangsu Province

Key RESEARCH and development program for social development

Zhenjiang city key research and development plan

Jiangsu province emergency management science and technology project

Publisher

Springer Science and Business Media LLC

Subject

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

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-17024-y.pdf

Reference38 articles.

1. Guo K, Chen T, Ren S, Li N, Hu M, Kang J (2022) Federated learning empowered real-time medical data processing method for smart healthcare. IEEE/ACM Trans Comput Biol Bioinforma

2. Guo K, Shen C, Hu B, Hu M, Kui X (2022) Rsnet: relation separation network for few-shot similar class recognition. IEEE Trans Multimed

3. Lee S-g, Bae JS, Kim H, Kim JH, Yoon S (2018) Liver lesion detection from weakly-labeled multi-phase ct volumes with a grouped single shot multibox detector. In: Medical image computing and computer assisted intervention-MICCAI 2018: 21st international conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II 11, pp 693–701. Springer

4. Chiao J-Y, Chen K-Y, Liao KY-K, Hsieh P-H, Zhang G, Huang T-C (2019) Detection and classification the breast tumors using mask r-cnn on sonograms. Medicine 98(19)

5. Tao Q, Ge Z, Cai J, Yin J, See S (2019) Improving deep lesion detection using 3d contextual and spatial attention. In: Medical image computing and computer assisted intervention-MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part VI 22, pp. 185–193. Springer

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. IAFI-FCOS: Intra- and across-layer feature interaction FCOS model for lesion detection of CT images;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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