Ardizzone E, Pirrone R: An architecture for the recognition and classification of multiple sclerosis lesions in MR images. IDAMAP, 1999. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Fusing Markov Random Fields with Anatomical.. - Al-Zubi.. (2002) (Correct)
....lesions and white matter that can be separated by a simple intensity based classifier. Similar work can be found for segmenting tumors in Kamber et al. 2] Another way to classify lesions is using a feature space collected from possible candidate lesions to sort out false positives. Ardizzone [3] uses the fuzzy c means algorithm by first obtaining a set of over segmented regions followed by a reclustering phase. The re clustering uses shape and intensity features to label or split unknown clusters. After this phase three masks corresponding to WM, WM GM and WM GM CSF are built. The holes ....
Ardizzone E, Pirrone R: An architecture for the recognition and classification of multiple sclerosis lesions in MR images. IDAMAP, 1999.
Fusing Markov Random Fields with Anatomical.. - Al-Zubi.. (Correct)
No context found.
E. Ardizzone, R. Pirrone, "An Architecture for the Recognition and Classification of Multiple Sclerosis Lesions in MR Images", IDAMAP, 1999.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC