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Top-hat和gaborfilter在肺结节ROI自动检测中的应用研究

计算机工程与应用 2012年第4期48卷 190-192页

作者：范立南李道静孙申申常朝海沈阳大学信息工程学院沈阳110044

在自动诊断大量带有病变区域的CT图像时,计算机辅助诊断起着重要的作用。提出了一种自动检测肺结节感兴趣区域的方法。对肺实质进行分割;利用Top-hat滤波提取包含血管和结节在内的初始感兴趣区域;用gaborfilter对图像进行第二次处理;对... 详细信息

在自动诊断大量带有病变区域的CT图像时,计算机辅助诊断起着重要的作用。提出了一种自动检测肺结节感兴趣区域的方法。对肺实质进行分割;利用Top-hat滤波提取包含血管和结节在内的初始感兴趣区域;用gaborfilter对图像进行第二次处理;对图像进行比对,从而得到更为精确的疑似结节的病灶区域。实验证明该方法能准确完整地提取出感兴趣区域。

关键词： Top-hat滤波器 gaborfilter 肺结节检测计算机辅助检测感兴趣区域

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A Novel Radial Basis Function Neural Network Approach for ECG Signal Classification

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Intelligent Automation & Soft Computing 2023年第1期35卷 129-148页

作者： S.Sathishkumar R.Devi Priya Department of Information Technology Adhiyamaan College of EngineeringHosur621004India Department of Information Technology Kongu Engineering CollegeErode638060India

ions in the ECG *** cardiologist and medical specialistfind numerous difficulties in the process of traditional *** specified restrictions are eliminated in the proposed *** fundamental aim of this work is tofind the R-R *** analyze the blockage,different approaches are implemented,which make the computation as facile with high *** information are recovered from the MIT-BIH *** retrieved data contain normal and pathological ECG *** obtain a noiseless signal,gaborfilter is employed and to compute the amplitude of the signal,DCT-DOST(Discrete cosine based Discrete orthogonal stock well transform)is *** amplitude is computed to detect the cardiac *** R peak of the underlying ECG signal is noted and the segment length of the ECG cycle is *** Genetic algorithm(GA)retrieves the primary highlights and the classifier integrates the data with the chosen attributes to optimize the *** addition,the GA helps in performing hereditary calculations to reduce the problem of multi-target ***,the RBFNN(Radial basis function neural network)is applied,which diminishes the local minima present in the *** shows enhancement in characterizing the ordinary and anomalous ECG signals.

关键词： Electrocardiogram signal gaborfilter discrete cosine based discrete orthogonal stock well transform genetic algorithm radial basis function neural network

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An Efficient Hybrid Optimization for Skin Cancer Detection Using PNN Classifier

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Computer Systems Science & Engineering 2023年第6期45卷 2919-2934页

作者： J.Jaculin Femil T.Jaya Ponjesly College of Engineering NagercoilTamilnaduIndia CSI Institute of Technology Thovalai India

The necessity of on-time cancer detection is extremely high in the recent days as it becomes a threat to human *** skin cancer is considered as one of the dangerous diseases among other types of cancer since it causes severe health impacts on human beings and hence it is highly mandatory to detect the skin cancer in the early stage for providing adequate ***,an effective image processing approach is employed in this present study for the accurate detection of skin ***,the dermoscopy images of skin lesions are retrieved and processed by eliminating the noises with the assistance of ***,the pre-processed dermoscopy image is segmented into multiple regions by implementing cascaded Fuzzy C-Means(FCM)algorithm,which involves in improving the reliability of cancer *** A Gabor Response Co-occurrence Matrix(GRCM)is used to extract melanoma parameters in an effi-cient manner.A hybrid Particle Swarm Optimization(PSO)-Whale Optimization is then utilized for efficiently optimizing the extracted ***,the fea-tures are significantly classified with the assistance of Probabilistic Neural Net-work(PNN)classifier for classifying the stages of skin lesion in an optimal *** whole work is stimulated in MATLAB and the attained outcomes have proved that the introduced approach delivers optimal results with maximal accuracy of 97.83%.

关键词： gaborfilter GRCM hybrid PSO-whale optimization algorithm PNN classifier

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