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Modern multislice computed tomography (CT) scanners produce isotropic CT images with a thickness of 0.6 mm. These CT images offer detailed information of lung cavities, which could be used for better surgical planning of treating lung cancer. The major challenge for developing a surgical planning system is the automatic segmentation of lung lobes by identifying the lobar fissures. This paper presents...
Information Technology advances have bought forth new challenges in healthcare information management, due to the vast amount of medical data that needs to efficiently stored, retrieved and distributed, and the increased security threats that explicitly have to be addressed. In particular, embedding patient information into a medical image through data hiding could improve the level of security and...
This paper presents a new approach to enhance the contrast of microcalcifications in mammograms using a fuzzy algorithm based on Tsallis entropy. In phase I image is fuzzified using S membership function. In Phase II using the non-uniformity factor calculated from local information the contrast of microcalcifications were enhanced while suppressing the background heavily. This is the first time in...
Kinematic measurements using active markers are well known methods. This paper aims at the development of an image analysis algorithm and LabVIEW based software tool for active marker based gait analysis. Active markers in the form of light-emitting diodes (LEDs) were positioned at anatomical landmarks to measure the coordinated kinematics of human joints.
This paper proposes a new segmentation approach by considering the non extensive property of mammograms. The novel thresholding technique is performed by Tsallis entropy characterized by one more parameter q, which depends on the nonextensiveness of mammogram. Mammograms are typical examples of image with fractal-type structures (nonextensiveness). The proposed approach has been tested on various...
This paper presents a new approach to enhance the contrast of microcalcifications in mammograms using a fuzzy algorithm based on Tsallis entropy. In phase I image is fuzzified using S membership function. In Phase II using the non-uniformity factor calculated from local information the contrast of Microcalcifications were enhanced while suppressing the background heavily. This is the first time in...
Breast cancer is one of the leading causes of women death in the world. Since the causes are unknown, breast cancer cannot be prevented. Micro calcifications are the earliest signs of breast cancer and their detection is one of the most important research areas now. A novel approach for image segmentation of denser mammography images is introduced, for more accurate detection of microcalcifications...
The goal of our project is to devise a robust method to track and compensate patient motion by combining an emission data based approach with a visual tracking system (VTS) that provides an independent estimate of motion. In a previous study, we used the Polaris infra-red system (NDI Inc., Ontario, Canada) as the gold standard to show that the VTS can accurately track motion without having the limitations...
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