- 期刊
An Efficient Rapid Region Growing Algorithm for Medical Image Segmentation
並列摘要
Medical imaging is an important diagnostic tool, so that medical personnel can more easily understand the patient's condition. Therefore, this study will combine medical knowledge and computer science to detect and capture the various features. The physician can effectively progress the further treatment with this information. The contour and texture of the medical imaging are the important features, and we can use some image segmentation techniques to obtain these features. In this study, the experiments focused on the contour and texture segmentation in continuous abdominal computed tomography (CT) images. We also proposed a modified region growing algorithm for image segmentation. Finally, we will develop a computer-aided system based on this framework to show the segmented images and assist the clinical diagnosis more effectively.
延伸閱讀
- 張立雨、陳繼藩（2008）。A Multi-Scale Region Growing Segmentation for High Resolution Remotely Sensed Images。航測及遙測學刊，13(2)，147-158。https://doi.org/10.6574/JPRS.2008.13(2).6
- Dandekar, O., WilliamPlishker, Bhattacharyya, S. S., & Shekhar, R. (2008). Multiobjective Optimization for Reconfigurable Implementation of Medical Image Registration. International Journal of Reconfigurable Computing, 2008(), 95-111. https://doi.org/10.1155/2008/738174
- Guo, Q., Li, G. Y., & Wang, Y. (2020). Segmentation Technology of Medical Images Based on Regional Growth. 電腦學刊, 31(3), 115-125. https://doi.org/10.3966/199115992020063103009
- Ko, H. Y. (2016). Adaptive Growing and Merging Algorithm for Image Segmentation [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU201600348
- Chen, Y. T. (2007). Medical Image Compression and Segmentation based on Statistical Inferences [doctoral dissertation, National Central University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0031-0207200917343899