IEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume
2022-November
Rights Holder(s)
SCOPUS
Bibliographic Citation
IEEE Region 10 Annual International Conference, Proceedings/TENCON Vol.2022-November (2022)
Suggested Citation
Zhang H., Kusakunniran W., Siriapisith T., Saiviroonporn P. Brain Hemorrhage Segmentation in CT Scan Images using Deep Learning based Approach. IEEE Region 10 Annual International Conference, Proceedings/TENCON Vol.2022-November (2022). doi:10.1109/TENCON55691.2022.9977491 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/84322
Title
Brain Hemorrhage Segmentation in CT Scan Images using Deep Learning based Approach
In this paper, a variety of neural networks are compared, and the optimal CE-Net model is found and improved. It can segment CT images of cerebral hemorrhage, especially for the small and irregular images.
