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In histopathology images, there often exists several Nuclei overlapped with each other which causes difficulty to automatic nuclei segmentation. As we all know, watershed algorithm has been widely employed in image segmentation. But the limitation of watershed segmentation is sensitive to noise and can lead to serious over-segmentation. In this paper, we present an improved watershed transformation...
Image segmentation plays a crucial role in breast ultrasound (BUS) for breast cancer detection. However, due to the heavy speckle noise, low contrast and shadowing effects of BUS images, it's a challenging task to develop an accurate and robust segmentation algorithm. In this paper, we present a novel algorithm for breast ultrasound image segmentation which is based on hybrid of level set and graph...
Nowadays manual observation by microscopes is the major method to detect leukemia cells. However this method takes much effort of doctors and depends much on the doctors' experience. This paper proposes a new method to locate the immature precursor cells based on distance transform and internal structures of cells. At first, Otsu method is used to binarize the image; secondly, the image is processed...
It is an effective means for the early diagnosis of leukemia to study immature precursor cells in marrow pathological images by computer image processing technology. This paper proposed a new method about localization of immature precursor cells in Pathological images of bone marrow. Firstly, we use modified OSTU method to binarize the image; then we process the image with morphological operations,...
The classical method of red cells examination in urine micrograph is counted by manpower, which has the following deficiencies such as low efficiency, strong subjectivity and poor reliability. This paper focuses on the detection of red blood cells in urine image captured under microscope by image processing. After the urine image is preprocessed by improved Sobel operator, red blood cells are localized...
For the purpose of motion-compensated processing we propose a temporal modeling approach for determining the image motion in a gated cardiac sequence, wherein the inherent image motion is periodic over time. To exploit the periodic nature of the cardiac motion, we use a Fourier harmonic representation to describe the motion field for the entire sequence. We then determine the motion field by estimating...
2D Shepp-Logan head model is the classical model of simulations in 2D medical image reconstruction of CT. A method, considering 3D Shepp-Logan head model as the reference model of simulations in 3D medical image reconstruction of spiral CT, is proposed in the paper. Designing of 3D Shepp-Logan head model as well as computing of the projection data is introduced, and then the simulation for 3D medical...
CT scan provide valuable medical image information and intravenous iodinated contrast medium injection can enhance the image contrast quality. Some patients, who may suffer palpitation, emesis, and other stress phenomena, even induce death after intravenous iodinated contrast medium injection. In this paper, we develop a real-time risk indicator based on patients' heart rate variation. The heart rate...
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