Thresholding for medical image segmentation for cancer using fuzzy entropy with level set algorithm
In this study, an effective means for detecting cancer region through different types of medical image segmentation are presented and explained. We proposed a new method for cancer segmentation on the basis of fuzzy entropy with a level set (FELs) thresholding. The proposed method was successfully u...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2018-09-01
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| Series: | Open Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/med-2018-0056 |