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An interactive tool for the segmentation of multimodal medical images

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5 Author(s)

This paper describes a software application to segment multimodal biomedical images in 2D and to render the final result in 3D. It makes use of the false-colouring method for image fusion and of unsupervised clustering algorithms. It includes pre-processing and post-processing tools, such as classical morphological operators. Results are presented from original MRI data sets in T1, T2 and STIR modalities

Published in:

Information Technology Applications in Biomedicine, 2000. Proceedings. 2000 IEEE EMBS International Conference on

Date of Conference:

2000