| Reference Type | Journal (article/letter/editorial) |
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| Title | A multi-scale level set method based on local features for segmentation of images with intensity inhomogeneity |
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| Journal | Pattern Recognition |
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| Authors | Min, Hai | Author |
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| Xia, Li | Author |
| Han, Junwei | Author |
| Wang, Xiaofeng | Author |
| Pan, Qianqian | Author |
| Fu, Hao | Author |
| Wang, Hongzhi | Author |
| Wong, Stephen T.C. | Author |
| Li, Hai | Author |
| Year | 2019 (July) | Volume | 91 |
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| Publisher | Elsevier BV |
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| DOI | doi:10.1016/j.patcog.2019.02.009Search in ResearchGate |
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| Generate Citation Formats |
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| Mindat Ref. ID | 9367764 | Long-form Identifier | mindat:1:5:9367764:0 |
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|
| GUID | 0 |
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| Full Reference | Min, Hai, Xia, Li, Han, Junwei, Wang, Xiaofeng, Pan, Qianqian, Fu, Hao, Wang, Hongzhi, Wong, Stephen T.C., Li, Hai (2019) A multi-scale level set method based on local features for segmentation of images with intensity inhomogeneity. Pattern Recognition, 91. 69-85 doi:10.1016/j.patcog.2019.02.009 |
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| Plain Text | Min, Hai, Xia, Li, Han, Junwei, Wang, Xiaofeng, Pan, Qianqian, Fu, Hao, Wang, Hongzhi, Wong, Stephen T.C., Li, Hai (2019) A multi-scale level set method based on local features for segmentation of images with intensity inhomogeneity. Pattern Recognition, 91. 69-85 doi:10.1016/j.patcog.2019.02.009 |
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| In | (2019) Pattern Recognition Vol. 91. Elsevier BV |
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