- Published
- 2022-07-09
- Venue
- Complex & Intelligent Systems, vol. 9, no. 1, pp. 1001-1026
- Cited by
- 405
- Open access
- Yes, gold
- DOI
- 10.1007/s40747-022-00815-5
Abstract
Brain tumor segmentation is one of the most challenging problems in medical image analysis. The goal of brain tumor segmentation is to generate accurate delineation of brain tumor regions. In recent years, deep learning methods have shown promising performance in solving various computer vision problems, such as image classification, object detection and semantic segmentation. A number of deep learning based methods have been applied to brain tumor segmentation and achieved promising results. Considering the remarkable breakthroughs made by state-of-the-art technologies, we provide this survey with a comprehensive study of recently developed deep learning based brain tumor segmentation techniques. More than 150 scientific papers are selected and discussed in this survey, extensively covering technical aspects such as network architecture design, segmentation under imbalanced conditions, and multi-modality processes. We also provide insightful discussions for future development directions.
Cite this paper
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- APA 7
Liu, Z., Tong, L., Chen, L., Jiang, Z., Zhou, F., Zhang, Q., Zhang, X., Jin, Y., & Zhou, H. (2022). Deep learning based brain tumor segmentation: a survey. Complex & Intelligent Systems, 9(1), 1001–1026. https://doi.org/10.1007/s40747-022-00815-5
- MLA 9
Liu, Zhihua, et al. "Deep learning based brain tumor segmentation: a survey." Complex & Intelligent Systems, vol. 9, no. 1, 2022, pp. 1001–1026, https://doi.org/10.1007/s40747-022-00815-5.
- Chicago
Liu, Zhihua, Lei Tong, Long Chen, Zheheng Jiang, Feixiang Zhou, Qianni Zhang, Xiangrong Zhang, Yaochu Jin, and Huiyu Zhou. "Deep learning based brain tumor segmentation: a survey." Complex & Intelligent Systems 9, no. 1 (2022): 1001–1026. https://doi.org/10.1007/s40747-022-00815-5.
- GOST
Liu Z., Tong L., Chen L. [и др.] Deep learning based brain tumor segmentation: a survey // Complex & Intelligent Systems. — 2022. — Vol. 9, № 1. — P. 1001–1026. — URL: https://doi.org/10.1007/s40747-022-00815-5
- BibTeX
@article{liu2022deep, title = {{Deep learning based brain tumor segmentation: a survey}}, author = {Zhihua Liu and Lei Tong and Long Chen and Zheheng Jiang and Feixiang Zhou and Qianni Zhang and Xiangrong Zhang and Yaochu Jin and Huiyu Zhou}, journal = {Complex \& Intelligent Systems}, year = {2022}, volume = {9}, number = {1}, pages = {1001--1026}, doi = {10.1007/s40747-022-00815-5}, url = {https://doi.org/10.1007/s40747-022-00815-5} }- RIS
TY - JOUR AU - Liu, Zhihua AU - Tong, Lei AU - Chen, Long AU - Jiang, Zheheng AU - Zhou, Feixiang AU - Zhang, Qianni AU - Zhang, Xiangrong AU - Jin, Yaochu AU - Zhou, Huiyu TI - Deep learning based brain tumor segmentation: a survey JO - Complex & Intelligent Systems VL - 9 IS - 1 SP - 1001 EP - 1026 PY - 2022 DA - 2022/07/09 DO - 10.1007/s40747-022-00815-5 UR - https://doi.org/10.1007/s40747-022-00815-5 ER -
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