A Novel Segmentation and Features Extraction with Features Selection Methods for Classification of Medical Images.

摘要

ABSTRACT The segmentation is an important research task has been done on the images, which split the images into more segments and this segmented process has been used to identify the affected areas in bronchi which gives an efficient and understandable results. The drawback of previous method, it that is difficult to distinguish critical tissues from normal tissues and it is used to normalize the visual pattern by using computed tomography images. In the previous work, the exactness of finding.