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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)
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)
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 Digital mammography is the most reliable imaging modality for breast carcinoma diagnosis and breast micro-calcifications is regarded as one of the most important signs on imaging diagnosis. In this paper, a computer-aided diagnosis (CAD) system is presented for breast micro-calcifications based on dual-tree complex wavelet transform (DT-CWT) to(More)
One of the greatest concern and immediate challenges to the current health care is the severe progression of diabetes. Diabetic retinopathy is an eye disease that associated with long-standing diabetes. The conventional method followed by ophthalmogists is the regular supervision of the retina. As this method takes time and energy of the ophthalmogists, a(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)
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)
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)
DWT (discrete wavelet transforms) has become an attractive tool in image registration, however, it is shift- sensitive, which is mainly caused by the aliasing term in downsampling process. Some modified schemes of DWT, such as DTCWT (dual-tree complex wavelet transform), always lead to high computational complexity in registration process because of(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)