CAD System forLung cancer detection using Adaptive NeuroFuzzy Classifier

This paper presents a computer aided diagnosissystem to recognize lung cancer at its earlier stage and in this research article a new approach is presented. In several research studies CAD system for lung cancer is implemented. An effective lung cancer detection CAD system generally comprises several steps which includes: Image preprocessing to enhance the image, Segmenting the image to find the lesion present in an image, Features are to be extracted to train the system and Classification to be done whether the image is having lesions or not. The proposed CAD system combines image processing and artificial neuro fuzzy classifier and produces accuracy of 98.1% for cancerous nodules.