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» Noisy Image Segmentation Based on a Level Set Evolution
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MICCAI
2003
Springer
16 years 5 months ago
VETOT, Volume Estimation and Tracking Over Time: Framework and Validation
We have implemented an effective and publicly available tool, VETOT, to track and quantify the evolution of tumors and organs over time. VETOT includes a framework both for registr...
Jean-Philippe Guyon, Mark Foskey, Jisung Kim, Zeyn...
MICCAI
2003
Springer
16 years 5 months ago
A Statistically Based Surface Evolution Method for Medical Image Segmentation: Presentation and Validation
Abstract. In this paper we present a new algorithm for 3D medical image segmentation. The algorithm is fast, relatively simple to implement, and semi-automatic. It is based on mini...
Eric Pichon, Allen Tannenbaum, Ron Kikinis
IPCV
2008
15 years 5 months ago
3D Brain Tumor Segmentation Using Level-Sets Method
The main objective of this paper is to provide an efficient tool for delineating brain tumors in three-dimensional magnetic resonance images. To achieve this goal, we use basically...
Kamel Aloui, Mohamed Saber Naceur
ICPR
2008
IEEE
15 years 10 months ago
Active contour algorithm for texture segmentation using a texture feature set
This paper presents a novel algorithm for unsupervised texture segmentation. We incorporate a set of texture features under a segmentation framework, based on the active contour w...
Sandro Vega-Pons, José Luís Gil Rodr...
ISBI
2004
IEEE
16 years 5 months ago
Level Set Methods for Dynamic Tomography
In this paper, we propose a novel variational framework for the reconstruction of dynamic objects from sparse and noisy tomographic data. Using an object-based scene model, we dev...
Yonggang Shi, William Clement Karl