Paper
17 March 2008 Cell-based image partition and edge grouping: a nearly automatic ultrasound image segmentation algorithm for breast cancer computer aided diagnosis
Jie-Zhi Cheng, Kuei-Wu Chen, Yi-Hong Chou, Chung-Ming Chen
Author Affiliations +
Abstract
This study proposes a nearly automatic ultrasound image segmentation algorithm for computer-aided diagnosis on breast cancer. This method is realized in two phases, i.e., partition phase and edge grouping phase. The two phases are implemented on the cell tessellation, which is generated by two-pass watershed transformation. With this unique integration of the three ingredients, i.e., the partition and grouping phases and cell tessellation, it will be shown that the breast lesion boundaries can be effectively and efficiently detected - even the lesion shape is very uneven. The proposed algorithm can be served as the kernel of CAD system on breast ultrasound to improve the automation and performance.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jie-Zhi Cheng, Kuei-Wu Chen, Yi-Hong Chou, and Chung-Ming Chen "Cell-based image partition and edge grouping: a nearly automatic ultrasound image segmentation algorithm for breast cancer computer aided diagnosis", Proc. SPIE 6915, Medical Imaging 2008: Computer-Aided Diagnosis, 69152E (17 March 2008); https://doi.org/10.1117/12.769995
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KEYWORDS
Breast

Image segmentation

Ultrasonography

Computer aided diagnosis and therapy

Image processing algorithms and systems

Breast cancer

Image processing

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