Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
Background: DNA copy number alterations are one of the main characteristics of the cancer cell karyotype and can contribute to the complex phenotype of these cells. These alterati...
Jing Huang, Wen Wei, Joyce Chen, Jane Zhang, Guoyi...
We present a novel use of GPUs (Graphics Processing Units) for the analysis of histopathologicalimages of neuroblastoma, a childhood cancer. Thanks to the advent of modern microsc...
Antonio Ruiz, Jun Kong, Manuel Ujaldon, Kim L. Boy...
Abstract. This paper describes effort towards automatic tissue segmentation in neonatal MRI. Extremely low contrast to noise ratio (CNR), regional intensity changes due to RF coil ...
Guido Gerig, Marcel Prastawa, Weili Lin, John H. G...
Abstract-- We present a new method for automatic segmentation of heterogeneous image data that takes a step toward bridging the gap between bottom-up affinity-based segmentation me...
Jason J. Corso, Eitan Sharon, S. Dube, Suzie El-Sa...