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BACKGROUND The morphological changes of the retinal blood vessels in retinal images are important indicators for diseases like diabetes, hypertension and glaucoma. Thus the accurate segmentation of blood vessel is of diagnostic value. METHODS In this paper, we present a novel method to segment retinal blood vessels to overcome the variations in contrast(More)
BACKGROUND Computed Tomography (CT) is a technology that obtains the tomogram of the observed objects. In real-world applications, especially the biomedical applications, lower radiation dose have been constantly pursued. To shorten scanning time and reduce radiation dose, one can decrease X-ray exposure time at each projection view or decrease the number(More)
Hard exudates in retinal images are one of the most prevalent earliest signs of diabetic retinopathy. The accurate identification of hard exudates is of increasing importance in the early detection of diabetic retinopathy. In this paper, we present a novel method to identify hard exudates from digital retinal images. A feature combination based on(More)
The success of image analysis depends heavily upon accurate image segmentation algorithms. This paper presents a novel segmentation algorithm based on artificial ant colonies (AC). Recent studies show that the self-organization of ants is similar to neurons in the human brain in many respects. Therefore, it has been used successfully for understanding(More)
The virtual human is an interactive computer model integrating anatomical, biophysical, physiological and biomechanical characteristics of human being. The virtual Chinese human female number 1 (VCH-F1) is a high-resolution dataset of a standard Chinese female. This paper covers our 5-year work with VCH-F1 dataset. We will introduce the reconstruction of(More)
BACKGROUND Early detection of lung cancer is known to improve the chances of successful treatment. However, lungs are soft tissues with complex three-dimensional configuration. Conventional X-ray imaging is based purely on absorption resulting in very low contrast when imaging soft tissues without contrast agents. It is difficult to obtain adequate(More)
BACKGROUND Colour image segmentation is fundamental and critical for quantitative histological image analysis. The complexity of the microstructure and the approach to make histological images results in variable staining and illumination variations. And ultra-high resolution of histological images makes it is hard for image segmentation methods to achieve(More)
Diffraction enhanced imaging (DEI) is a novel x-ray radiographic imaging method, which derives contrast from absorption, refraction, and extinction. With DEI technique, the spatial resolution of the acquired image can be increased 1000 times over conventional x-ray radiography. Therefore, it is suitable for the observation of biomedical micro-tissues and(More)