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Segmentation And Analysis Of Interstitial Lung Disease Pattern In HRCT Images And Disease Classification By K- Means
2017
International Journal of Recent Trends in Engineering and Research
automated segmentation of pathological bearing region is the first step towards the development of lung CAD. Most of the work reported in the literature related to automated analysis of lung tissue aims towards classification of fixed sized block into one of the classes. This block level classification of lung tissues in the image never results in accurate or smooth boundaries between different regions. In this work, effort is taken to investigate the performance of the automated image
doi:10.23883/ijrter.2017.3148.zvbb7
fatcat:d24dakke3feubpuspwiaajpsda