Medical Images Edge Detection Based on Mathematical Morphology

By Yu-qian Zhao, Wei-Hua Gui, Zhen-cheng Chen, Jing-Tian Tang, Ling Li. 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005

312 citations recorded by the source corpus.

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A review on automatic fetal and neonatal brain MRI segmentation (2017, unknown): “, 1997), edge detection (Yu-qian et al., 2005) and clustering techniques (Macqueen, 1967; Bezdek, 1981).”
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation (2021, methodology): “Early methods for medical segmentation use statistical shape models, contourbased approaches and machine learning-based methods [41,32,9].”
Medical Image Segmentation Using Deep Learning: A Survey (2020, background): “[10] proposed a new mathematical morphology edge detection algorithm for lung CT images.”
A Review of Deep-Learning-Based Medical Image Segmentation Methods (2021, methodology): “Like the proposed threshold-based segmentation method [13], regionbased image segmentation method [14], and edge detection-based segmentation method [15].”