Detection of Lung Tumours in CT Images using Matlab software - Sriram, Ramya
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Medical Image processing is one of the prominent detection analysis and goes hand in hand with Cancer detection, diagnosis and treatment. Early detection, diagnosis and treatment are of utmost importance and can improve chances of survival. Filtering, morphology, statistical analysis of the malignant tumours after automatic detection or segmentation of the suspected area of the lungs are some of the basic techniques of study adapted in any radiological imaging techniques. Lung cancer is the leading cause of cancer-related death in both men and women. This work is concerned with the analysis…mehr

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Produktbeschreibung
Medical Image processing is one of the prominent detection analysis and goes hand in hand with Cancer detection, diagnosis and treatment. Early detection, diagnosis and treatment are of utmost importance and can improve chances of survival. Filtering, morphology, statistical analysis of the malignant tumours after automatic detection or segmentation of the suspected area of the lungs are some of the basic techniques of study adapted in any radiological imaging techniques. Lung cancer is the leading cause of cancer-related death in both men and women. This work is concerned with the analysis and classification of bright spots in the tumour. Bright Spots ratio of the tumour is an important ratio, which is nothing but the ratio of number of bright spots and the area of the tumour that is detected. A key problem in finding the number of bright spots is that the images need to be pre-processed.
Autorenporträt
Ramya Sriram has obtained B.E. Electronics and Instrumentation from St. Josephs College of Engineering, India and M.Phil in Medical Imaging from University of Sussex, UK. Biomedical Quality Assurance Lead by profession.She currently resides in Finland.