Brain Tumor classifications
The lungs are the most important organs of the respiratory system whose mainfunction is to draw in oxygen during inspiration and to breathe out carbon dioxideduring expiration. The average inhaling rate of children is 12-20 breaths/mines.The human body requires oxygen both for cellular growth and for cellularmetabolic activities. Simultaneously carbon dioxide that is a toxic waste producthas to be eliminated from the body..
Malfunctioning of the lungs is referred to aslung disease. Lung diseases are one of the major health issues as they causearound four million deaths worldwide every year. In India, lung diseases are thesecond highest cause of death, the major cause being coronary lung diseases(WHO 2013). India tops the world ranking for mortality due to lung diseases(Bartholmai, Brian J., et al. 2013)..
By using computers, the digital images aremanipulated and hence it is called as digital image processing. The hard copieslike photographs and printouts are used in the analog image processing..
The image interpretation or rendering is used by the object recognized forassigning the meaning. The descriptor delivers information depending on the itemthat is assigned by a label in image recognition. The image description excerptsthe difference between the objects of one class to another features or quantitativeinformation of interest features.
The image representation means that the inputdata is transformed into a format that can be processed by a computer. The imagesegmentation can divide the image (input) into their component objects or parts.Image preprocessing improves image quality and raises the likelihood of asuccessful process. In image acquisition, the digital images are acquired.
Conclusion
The prediction of diseases of the cancer is intended to help oncologist indiagnosis. This method is proposed for classifying the data on ailments in thecancer. A patient CT image classification has been performed in this work for medical dataset by using HANNCSO method, hierarchical clustering method and max-margin classifier. This work necessitates the use of the feature selection process prior to the classification process while analyzing huge dataset. The medical history of the patients and symptoms by data mining as the data will have a major trait of selecting the method used for dataset plummeting.
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