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Biomarker discovery in amenably sampled body fluids has the potential to empower clinical screening programs for the early detection of disease. Liquid Chromatography interfaced to Mass Spectrometry (LC-MS) has emerged as a central technique for sensitive and automated analysis of proteins and metabolites from these clinical samples. However, the potential of LC-MS as a precise and reliable platform...
In this paper we address the problem of automated differential segmentation of the prostate in three dimensional (3-D) magnetic resonance images (MRI) of patients with benign prostatic hyperplasia (BPH). We suggest a framework that consists of two stages: in the first stage, a Random Forest classifier localizes the anatomy of interest. In the second stage, Graph-Cuts (GC) optimization is utilized...
In this paper we report on the results of a systematic performance evaluation of three efficient image segmentation algorithms. namely Graph-Cuts, Random-Walker and Grow-Cut. The evaluation focuses on their function as the computational part of an interactive segmentation system. The implications caused by the human involvement in the overall process are avoided by simulating two different patterns...
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