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In this paper, we propose a novel method to detect glandular structures in microscopic images of human tissue. We first convert the image from Cartesian space to polar space and then introduce a novel random field model to locate the possible boundary of a gland. Next, we develop a visual feature-based support vector regressor to verify if the detected(More)
In this paper, we propose a novel method for detecting glandular structures in microscopic images of human tissue. We first transform the image from Cartesian space to polar space and introduce a novel random field model with an efficient inference strategy that uses two simple chain graphs to approximate a circular graph to infer possible boundary of a(More)
Automatic quantification of cell nuclei in immunostained images is highly desired by pathologists in diagnosis. In this paper, we present a new approach for the segmentation of severely clustered overlapping nuclei. The proposed approach first involves applying a combined global and local threshold method to extract foreground regions. In order to segment(More)
Digitized tissue slide analysis allows the Pathologists to use computer assisted image analysis technology to reduce time cost and increase the accuracy of diagnosis. In this paper, we present an ease to use semi-automatic tool which can detect and separate stains in tissue samples correctly. This statistical model based tool has been applied to detecting(More)
The diagnosis of digitized tissue specimen can be improved by the computerized image analysis method. In this paper, we present a method of automatically detecting the gland structures in H-DAB stained images of colon cancer. This is a robust method which detect the glands by utilizing the texture information and morphological characteristics. We also(More)
BACKGROUND Colour is the most important feature used in quantitative immunohistochemistry (IHC) image analysis; IHC is used to provide information relating to aetiology and to confirm malignancy. METHODS Statistical modelling is a technique widely used for colour detection in computer vision. We have developed a statistical model of colour detection(More)
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