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Feature selection methods are critical in mammography computer-aided diagnosis and clinical decision support systems. However, searching for an optimal or near optimal feature subset is still a difficult task. After examining the problems with both filter and wrapper methods in feature selection, we propose a hybrid feature selection method using both Filter and Wrapper by taking advantage of both...
Cell segmentation in microscopy imagery is essential for many biomedical applications. In this paper, a novel level set based technique is proposed for segmenting the differential interference contrast (DIC) red blood cell microscopy images. Based on the framework of subjective surfaces, a local complex phase based edge indicator function is introduced to replace the traditional gradient-based edge...
Automatic or semi-automatic segmentation and tracking of artery trees from computed tomography angiography (CTA) is an important step to improve the diagnosis and treatment of artery diseases, but it still remains a significant challenging problem. In this paper, we present an artery extraction method to address the challenge. The proposed method consists of two steps: (1) a geometric moments based...
Dendritic spines play an essential role in the central nervous system. Recent experiments have revealed that neuron functional properties are highly correlated with the statistical and morphological changes of the dendritic spines. In this paper, we propose a new multi scale approach for detecting dendritic spines in a 2D Maximum Intensity Projection (MIP) image of the 3D neuron data stacks collected...
Neuron image analysis has recently emerged as a critical component for enabling quantitative systems neurobiology and high throughput drug screening. In this paper, we present a new algorithm for fast and automatic extraction of neurite structures in microscopy neuron images. The algorithm is based on novel methods for soma segmentation, seed point detection, recursive center line detection, and 2D...
An algorithm based on Dempster-Shafer evidence theory with discernment frame segmentation is proposed for texture image analysis, which applies to automatic gradation of spherular pearlite about 15CrMo. Image enhancement, segmentation and feature extraction is implemented first to form the feature space, which includes the fractal dimension, energy and entropy. The feature information is fused using...
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