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Patnaik, D. (2006) Biomedical Image Fusion Using Wavelet Transforms and SOFM Neural Network. Proceedings of the IEEE International Conference on Industrial Technology, Mumbai, 15-17 December 2006, 1189-1194.

has been cited by the following article:

• TITLE: Fusion Platform for Renal Cyst Characterization

  AUTHORS: Hatem Besbes, Wathek Belhajamor

  KEYWORDS: Double Isotope, Renal Cyst, Dual-Isotope, Fusion Platform, Pathological Parameter

  JOURNAL NAME: Open Journal of Medical Imaging, Vol.5 No.1, February 28, 2015

  ABSTRACT: This work concerns the field of diagnostic aids that facilitate diagnostic decisions for practitioners, especially in medical imaging. The pathology in question, in this study, is the renal cyst. The diagnostic process starts from simultaneous acquisitions of double isotope (Teechnetium-99 m and Iodine-131) scintigraphic images. Then, the platform allows the fusion of these images and the calculation of a pathological parameter that permits the characterization of the state of the dysplasic kidney by comparing it with the normal one. The final result is fusion images annotated by the pathological parameter value.