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This paper presents a wavelet-based texture analysis method for classification of melanoma. The method applies tree-structured wavelet transform on different color channels of red, green, blue and luminance of dermoscopy images, and employs various statistical measures and ratios on wavelet coefficients. Feature extraction and a two-stage feature selection method, based on entropy and correlation,...
Breast cancer is the women's common diseases in the world. How to improving the early diagnosis of breast cancer is very important. At present, many methods are used in diagnosis of the breast cancer, for example, ultrasonography and CT. They have some advantage, but they also have some disadvantages. Mammography is the most effective method for breast cancer screening available today. In this paper,...
This work presents a quantitative approach for discrimination of Oral Submucous Fibrosis (OSF) to Normal Oral Mucosa (NOM) in respect to size and shape properties of the basal layer, first layer in epithelium. Practically, basal cells form the proliferative compartment of the epithelium, and therefore changes in the morphometry of basal cells may have serious implications on future cell behavior,...
In this paper, we propose an automated method to segment and classify the 3-D spots in fluorescence in-situ hybridization images from ovarian germline nurse cells of Drosophila melanogaster. The spot segmentation consists of a smoothing step followed by top-hat filtering and 3-D region growing. After the spots are segmented, a number of features such as volume, texture, and contrast are measured so...
It is widely accepted and can be easily verified that any specific voxel in a class of brain single photon emission computed tomography (SPECT) volumes is of a univariate normal distribution. In this research, we conjecture that all the voxels in a class of SPECT volumes are also approximately of a multivariate normal (MVN) distribution from which in terms of the Bayes errors of statistics, an optimal...
With the heterogeneous nature of tissue texture, using a single resolution approach for optimum classification might not suffice. In contrast, a multiresolution wavelet packet analysis can decompose the input signal into a set of frequency subbands giving the opportunity to characterise the texture at the appropriate frequency channel. An adaptive best bases algorithm for optimal bases selection for...
Alzheimer's Disease (AD) is the most common cause of dementia that usually affects the elderly. The early accurate diagnosis of the AD still remains a diagnostic challenge especially during the early stage of the disease that offers better opportunities to treat its symptoms. In this work we present a complete computer-aided diagnosis (CAD) system for the early diagnosis of the AD based on multivariate...
An automated system for analysis of colonoscopy videos is expected to complement the expertise and the experience of a medical professional in: (a) detecting lesions and (b) assessing the quality of a given procedure. Colonoscopy videos contain a significant number of frames which do not carry any clinical information. The presence of such frames would slow down or cause the failure of the processing...
The purpose of this study is to investigate the significance of the multi-agent interactive information fusion algorithm over the matter of identification of breast masses in digitized images. For the lack of enough correlation information between the individual classifiers, the generalization performance of the Bayesian fusion method is sometimes far from the expected level, and thereby the multi-agent...
Single trial ERP detection is critical for stimulus-synchronous brain computer interfaces. This paper presents a comparison of three different algorithmic schemes for single-trial ERP detection: SVM (baseline), hierarchical SVM-(naive) Bayes, selected temporal windows-based SVM-(naive) Bayes. An ERP-based image search system, including experimental setup, data collection, pre-processing, and three...
Osteoarthritis (OA) is a major cause of morbidity worldwide, representing the most common form of arthritis. The radiographic assessment of OA-severity is mainly relied on qualitative criteria, evaluating structural alterations of the joint. In the present study a computer-based image analysis method was developed for the grading of hip OA-severity from radiographic images. The sample of the study...
Meniscal myxoid degeneration (MMD) represents a type of degenerative lesion, characterized by histological alterations of the meniscus. In the context of magnetic resonance (MR) imaging evaluation of MMD, the incidence of the condition is indicated by the presence of high intensity signal within the meniscus, while normal menisci are depicted as of homogeneously low intensity. In the present study,...
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