首页|Data on Lung Diseases and Conditions Discussed by Researchers at Manipal Academy of Higher Education (An Efficient Lung Image Classification and Detection Using Spiral-optimized Gabor Filter With Convolutional Neural Network)
Data on Lung Diseases and Conditions Discussed by Researchers at Manipal Academy of Higher Education (An Efficient Lung Image Classification and Detection Using Spiral-optimized Gabor Filter With Convolutional Neural Network)
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By a News Reporter-Staff News Editor at Network Daily News - Fresh data onRespiratory Tract Diseases and Conditions-Lung Diseases and Conditions are presented in a new report.According to news reporting from Manipal, India, by NewsRx journalists, research stated, “Lung cancerhas a high death rate of around seven million cases every year worldwide. A computed tomography (CT)scan provides certain essential data concerning lung diseases and their diagnosis.”Financial support for this research came from Manipal Academy of Higher Education, Manipal andVellore Institute of Technology, Chennai.The news correspondents obtained a quote from the research from the Manipal Academy of HigherEducation, “The main objective of this work is to classify various lung diseases such as Normal, Bronchiectasis,and Pleural Effusion. The proposed approach consists of three stages, namely pre-processing, featureextraction, and classification. At first, CT lung images are collected from the dataset and pre-processed.After pre-processing, the important texture features are extracted from each image. For feature extraction,spiral-optimized Gabor filter (SOGF) is utilized. The proposed SOGF is a combination of spiral optimizationalgorithm (SOA) and Gabor filter (GF). Then, the extracted features are given to the convolutional neuralnetwork (CNN) to classify different types of lung diseases. For comparison, we use different classifiers,namely artificial neural network (ANN), Random Tree, and the Naive Bayes.”
ManipalIndiaAsiaConvolutional NetworkEmerging TechnologiesHealth and MedicineLung Diseases and ConditionsMachine LearningNetworksNeural NetworksRespiratory Tract Diseases and ConditionsManipal Academy of Higher Education
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