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Breast tumor classification using different features of quantitative ultrasound parametric images
摘要： Rationale and objectives The ultrasound B-mode-based morphological and texture analysis and Nakagami parametric imaging have been proposed to characterize breast tumors. Since these three feature categories of ultrasonic tissue characterization supply information on different physical characteristics of breast tumors, by combining the above methods is expected to provide more clues for classifying breast tumors. Materials and methods To verify the validity of the concept, raw data were obtained from 160 clinical cases. Six different types of morphological-feature parameters, four texture features, and the Nakagami parameter of benignancy and malignancy were extracted for evaluation. The Pearson’s correlation matrix was used to calculate the correlation between different feature parameters. The fuzzy c-means clustering and stepwise regression techniques were utilized to determine the optimal feature set, respectively. The logistic regression, receiver operating characteristic curve, and support vector machine were used to estimate the diagnostic ability. Results The best performance was obtained by combining morphological-feature parameter (e.g., standard deviation of the shortest distance), texture feature (e.g., variance), and the Nakagami parameter, with an accuracy of 89.4%, a specificity of 86.3%, a sensitivity of 92.5%, and an area under receiver operating characteristic curve of 0.96. There was no significant difference between using fuzzy c-means clustering, logistic regression, and support vector machine based on the optimal feature set for breast tumors classification. Conclusion Therefore, we verified that different physical ultrasonic features are functionally complementary and thus improve the performance in diagnosing breast tumors. Moreover, the optimal feature set had the maximum discriminating performance should be irrelative to the power of classifiers.
关键词： Morphological features,Breast ultrasound,Nakagami parameter,Texture features,Classification
更新于2025-09-23 15:23:52
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Effects of the Electrode Modification Conditions on the Performance of Three-state Electrochromic Devices via Spin- coating
摘要： Electrodeposition-based electrochromic devices capture numerous attentions due to their simple sandwich-type structure, facile and low-cost fabrication, and promising application. Herein, titanium dioxide (TiO2) nanoparticles were modified onto fluorine doped tin oxide (FTO) electrode via spin-coating technique with different rotation speed and precursor solution concentration, followed by sandwiching a suitable amount of gel electrolyte between the modified FTO electrode and a flat FTO electrode to fabricate the electrodeposition-based electrochromic device with reversible three-state optical transformation (transparent, mirror and black). A systematic study of correlation between electrode modification condition and morphological features of TiO2 thin films, as well as the performance of electrochromic devices, i.e. optical contrast, switching time, and cycling stability, were investigated. Optimized performances of three-stated electrochromic device could be obtained by properly manipulating the electrode modification conditions. The results in this study will provide valuable guidance for rational design of electrochromic device with satisfactory performance.
关键词： Morphological Features,Rotation Speed,Electrochromic Properties,Precursor Solution Concentration,Spin-coating,Electrochromic
更新于2025-09-23 15:23:52
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[IEEE 2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC) - Chongqing (2018.6.27-2018.6.29)] 2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC) - Morphology-Based Visual Detection of Foreign Object on Overhead Line Tower
摘要： The interfering objects often hang on the overhead line with a large number, which brings great inconvenience and hurdles to the inspection and repair for maintainers. In the field of Unmanned Aerial Vehicle (UAV) routing inspection, many scholars focus on how to detect foreign object on images of power equipment. This paper proposes to use the combination of the morphological closing operation and morphological features restriction to give an accurate detection of the location and quantity of foreign object pictured by the UAV. experiments show that the accuracy is greater than 95%.There is no denying that human costs can be slashed, and at the same time, enhance the inspection and repair capabilities of maintenance personnel.
关键词： morphological features,foreign object detection,overhead line tower,closing operation
更新于2025-09-23 15:21:21
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[IEEE 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Honolulu, HI, USA (2018.7.18-2018.7.21)] 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Respiratory Rate Derived from Pulse Photoplethysmographic Signal by Pulse Decomposition Analysis
摘要： A novel technique to derive respiratory rate from pulse photoplethysmographic (PPG) signals is presented. It exploits some morphological features of the PPG pulse that are known to be modulated by respiration: amplitude, slope transit time, and width of the main wave, and time to the first reflected wave. A pulse decomposition analysis technique is proposed to measure these features. This technique allows to decompose the PPG pulse into its main wave and its subsequent reflected waves, improving the robustness against noise and morphological changes that usually occur in long-term recordings. Proposed methods were evaluated with a database containing PPG and plethysmography-based respiratory signals simultaneously recorded during a paced-breathing experiment. Results suggest that normal ranges of spontaneous respiratory rate (0.1-0.5 Hz) can be accurately estimated (median and interquartile range of relative error less than 5%) from PPG signals by using the studied features.
关键词： pulse photoplethysmographic (PPG) signals,respiratory rate,pulse decomposition analysis,plethysmography,morphological features
更新于2025-09-10 09:29:36