Abstract. In this paper, we incorporated the global convex segmentation method and the split Bregman technique into the region-scalable fitting energy model. The new proposed metho...
Yunyun Yang, Chunming Li, Chiu-Yen Kao, Stanley Os...
This paper focuses on the detection and segmentation of multiple sclerosis (MS) lesions in magnetic resonance images. The proposed method performs healthy tissue segmentation usin...
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
In this paper we present an evaluation of four different 3D segmentation algorithms with respect to their performance on three different CT Data Sets. The segmentation algorithms ...
We present an algorithm for the segmentation of multicell fluorescence microscopy images. Such images abound and a segmentation algorithm robust to different experimental conditio...