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With the sophistication in automated computing systems Bio-Medical Image analysis is made simple. Today there is an increase in interest for setting up medical system that can screen a large number of people for sight threatening diseases, such Retinoblastoma (Rb) and Diabetic Retinopathy(DR). Spatial Domain Edge Detection approach needs Gray scale images for feature extraction and highly prone to...
In this paper we present an unsupervised automatic method for segmentation of nuclei in H&E stained breast cancer biopsy images. Colour deconvolution and morphological operations are used to preprocess the images in order to remove irrelevant structures. Candidate nuclei locations, obtained with the fast radial symmetry transform, act as markers for a marker-controlled watershed segmentation....
Extracting pathology area accurately is of great importance for robot assisted surgery system and computer aided diagnosis system. We extracted cancer area (acetowhite epithelium) in uterine cervical image based on spectral matting, which introduced the concept of fundamental matting components. Experiment results showed that for large and clear acetowhite epithelium area, almost all of details of...
A technique for intelligent processing is proposed for the analysis of brain magnetic resonance images. This paper presents segmentation and detection technique of tumor, edema and healthy tissues from fluid attenuated inversion recovery magnetic resonance images of brain with the help of composite feature vectors comprising of empirically developed functions of higher order wavelets and statistical...
This paper presents a fast methodology for the estimation of informative cell features from densely clustered RGB tissue images. The features estimated include nuclei count, nuclei size distribution, nuclei eccentricity (roundness) distribution, nuclei closeness distribution and cluster size distribution. Our methodology is a three step technique. Firstly, we generate a binary nuclei mask from an...
Image retrieval from distributed database is one of the challenging tasks in recent researches. Unlike text retrieval through SQL, MYSQL, etc, image retrieval is not an easy task because of its storage space, color, shape and texture factor. We propose a technique of retrieving images from a distributed database environment by giving a region of an image as an input query. By applying segmentation...
A method is proposed for the representation of localised features using disjoint sub-images taken from several datasets of retinal images for use within an incremental learning system. A tile-based localised adaptive threshold selection method was taken for vessel segmentation based on separate colour components. Arteriole-venous differentiation was done using the composite of these components and...
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