2017
DOI: 10.1016/j.neucom.2016.07.057
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Localized active contour model with background intensity compensation applied on automatic MR brain tumor segmentation

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Cited by 75 publications
(29 citation statements)
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“…Likewise, the segmentation results achieved in Ref. [20] showed that the LACM-BIC outperforms in general comparative methods. However, for the images of the considered patients, the Localized C-V [18] and LGDF [21] methods reached the best results in three and two patient cases, respectively.…”
Section: Tablementioning
confidence: 86%
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“…Likewise, the segmentation results achieved in Ref. [20] showed that the LACM-BIC outperforms in general comparative methods. However, for the images of the considered patients, the Localized C-V [18] and LGDF [21] methods reached the best results in three and two patient cases, respectively.…”
Section: Tablementioning
confidence: 86%
“…It is important to note that this work is different from Ref. [20]. The former compared the ACM performances while this study proposes an alternative ACM selection system.…”
Section: E Ilunga-mbuyamba Et Al Computers In Biology and Medicine mentioning
confidence: 91%
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