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In fluoroscopic tracking for fractured femur bone fixation, a precise identification of the femoral head provides valuable guidance for positioning the implant instruments such as nails and screws. Noise, occlusions and weak edges challenge the task of automatically segmenting the femoral head. In this paper, a fast and fully automated method to precisely delineate the femoral head in fluoroscopic...
Extracting pathology area accurately is of great importance for robot assisted surgery system and computer aided diagnosis system. We extracted cancer area (acetowhite epithelium) in uterine cervical image based on spectral matting, which introduced the concept of fundamental matting components. Experiment results showed that for large and clear acetowhite epithelium area, almost all of details of...
Image registrationis a preliminary component in medical image analysis, which can significantly improve radiologists' performance in detecting and characterizing the lesion. In this paper, we propose an efficient feature-based non-rigid registration approach for multiphase liver CT images. The proposed method begins with extracting corners and edges simultaneously from reference and floating images...
Personalized insole design is a novel approach for better quality of daily life. In this study we developed a low-cost foot pressure measurement system elaborated for primary care and community hospitals, subsequently the feature extraction and pattern recognition were carried out in order to assist the clubfoot diagnosis. The original data were obtained from 20 adults with normal feet and 30 patients...
The global features of color, texture and shape are usually designated as the key index when content-based image retrieval (CBIR) is used in the medical field. Sometimes good result appears when these features are applied to color pathology or dermatosis images retrieval, however the topological relationships of the organs are generally ignored for most of the medical images. These disadvantages could...
The aim of this study was to investigate the performance of texture analysis in texture classification and tissue discrimination between MS lesions, normal appearing white matter (NAWM) and normal white matter (NWM) in order to support early diagnosis of MS. T2-weighted MR images of sixteen relapsing remitting MS (RRMS) patients and sixteen healthy subjects were selected. Based on the lesion size,...
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