Computer Aided Diagnosis for lung nodule identification in CT Image

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Information about Computer Aided Diagnosis for lung nodule identification in CT Image
Science-Technology

Published on March 13, 2014

Author: actionanand

Source: authorstream.com

PowerPoint Presentation: Guided by Group Members Mr. Maceal Tony Anand N.S Aju S Alwin Gigish M.R Jemil Raj J Computer Aided Diagnosis for lung nodule identification in CT Image Objective: To segment the area of interest (lungs) and then analyze the separately obtained area for nodule detection mask, dilation, outlining and border extraction are applied Find the early lung cancer nodules using the lung CT images and classify the nodules as benign or malignant O bjective Introduction: Lung cancer is one of the most serious cancer with the smallest survival rate(85%male, 75%female) The aim of the project is to develop a computer Aided Diagnosis (CAD) system for early detection of lung cancer based on the diagnosis of the lung regions in chest CT images Introduction Block Diagram : Block Diagram Read lung image Convert to binary image Edge detection using sobel Dilate the image Fill interior gap Remove connected objects Smoothen the objects Detecting Nodules using Image Segmentation: Read Image Convert CT image to Binary image Threshold 0.25 Create Binary Gradient Mask Fudge factor 0.5 Threshold * fudge factor Detecting Nodules using Image Segmentation Detecting Nodules using Image Segmentation: Edge Detection using sobel operator Create Morphological structuring element Shape: arbitrary, line, square, diamond Dilate the Image Fill interior gaps holes, locations Detecting Nodules using Image Segmentation Detecting Nodules using Image Segmentation: Remove Connected Objects on Border Unclear border- fill Size:4 Smoothen the object Shape: diamond Size:1 Outline the Nodules Detecting Nodules using Image Segmentation Final Output : Final Output Further Work : Classify the type of nodules as benign or malignant using classification techniques classify the types of lung cancer Further Work PowerPoint Presentation: Thank You

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