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MICCAI
2002
Springer
14 years 8 months ago
Comparative Exudate Classification Using Support Vector Machines and Neural Networks
After segmenting candidate exudates regions in colour retinal images we present and compare two methods for their classification. The Neural Network based approach performs margina...
Alireza Osareh, Majid Mirmehdi, Barry T. Thomas, R...
SMI
2008
IEEE
131views Image Analysis» more  SMI 2008»
14 years 1 months ago
Segmentation-free skeletonization of grayscale volumes for shape understanding
Medical imaging has produced a large number of volumetric images capturing biological structures in 3D. Computer-based understanding of these structures can often benefit from th...
Sasakthi S. Abeysinghe, Matthew L. Baker, Wah Chiu...
TSMC
2010
13 years 2 months ago
A Unified Tensor Level Set for Image Segmentation
Abstract--This paper presents a new region-based unified tensor level set model for image segmentation. This model introduces a three-order tensor to comprehensively depict feature...
Bin Wang, Xinbo Gao, Dacheng Tao, Xuelong Li
ISBI
2004
IEEE
14 years 8 months ago
Combining Fuzzy Logic and Level Set Methods for 3D MRI Brain Segmentation
We propose to segment volumetric brain structures with a level set method including a fuzzy decision in the design of the evolution force. The role of fuzzy logic is to fuse gradi...
Christian Barillot, Cybèle Ciofolo, Pierre ...
AIME
2009
Springer
13 years 8 months ago
Learning Approach to Analyze Tumour Heterogeneity in DCE-MRI Data During Anti-cancer Treatment
Abstract. The paper proposes a learning approach to support medical researchers in the context of in-vivo cancer imaging, and specifically in the analysis of Dynamic Contrast-Enhan...
Alessandro Daducci, Umberto Castellani, Marco Cris...