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Sept. 2006, October 2006, Nov. 2006, Dec.2006, Jan. 2007

Issue 11, Volume 3, November 2006
Print ISSN: 1109-9518
E-ISSN: 2224-2902







Title of the Paper: Comparison of Hopfield Neural Network and Fuzzy Clustering in Segmenting Sputum Color Images for Lung Cancer Diagnosis


Authors: Rachid Sammouda and Fatma Taher

Abstract: The analysis of sputum taken from patients can be an extremely valuable technique for an early detection diagnosis of lung cancer. There is a great need for an automated system which can provide accurate analysis of the morphology of the sputum cells on a microscope slide, or diagnose their color digital image using special software. In this work, we compare two unsupervised segmentation methods of sputum color images, a modified Hopfield Neural Network (HNN), and a Fuzzy C-Mean (FCM) Clustering Algorithm. The segmentation results will be used as a base for a Computer Aided Diagnosis (CAD) system for early detection of lung cancer. Both methods are designed to classify the image of N pixels among M classes or regions. Due to intensity variations in background of the raw images, a pre-segmentation process is developed to standardize the segmentation process. In this study, we have used 1000 sputum color images to test both methods. Experimental evidence of the effectiveness and limitation of each method is reported.

Keywords: Hopfield Neural Network, Fuzzy Clustering, Segmentation, Sputum Color Images, Lung Cancer Diagnosis

Title of the Paper: Real Time Monitoring System for ECG Signal Using Virtual Instrumentation


Authors: Amit Kumar, Lillie Dewan, Mukhtiar Singh

Abstract: The paper introduces the designed aspects of the real time monitoring of the ECG signal on virtual cardiograph. The designed system is consisting of four parts as below. 􀀹 Data acquisition of ECG signal 􀀹 Filtering of data logger 􀀹 Representations of Acquired ECG signal on virtual graphs. 􀀹 Making the data logger. The 6013 E Analog card is used for the acquisition of ECG signal from ECG simulator and LabVIEW 7.0 professional development tool is used to designed the system. The designed system is advantageous in automatic removal of noises and filtration of acquired signal on virtual cardiographs.

Keywords: Data Acquisition, ECG, LabVIEW, Virtual instrumentation

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