Article ID Journal Published Year Pages File Type
5031834 IRBM 2017 11 Pages PDF
Abstract

- Liver tumors in CT images are characterized by their fuzzy boundaries.
- Liver tumors were segmented from CT images using an entropy-based fuzzy region growing method.
- Both single and multiple lesions were segmented.
- Overlap of neighboring tumors was solved using a distance-based processing.
Keywords
Related Topics
Physical Sciences and Engineering Engineering Biomedical Engineering
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Semi-Automated Segmentation of Single and Multiple Tumors in Liver CT Images Using Entropy-Based Fuzzy Region Growing
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