Mithra, K. S., & Emmanuel, W. R. S. (2017, November). An efficient approach to sputum image segmentation using improved fuzzy local information C means clustering algorithm for tuberculosis diagnosis. 2017 International Conference on Inventive Computing and Informatics (ICICI), 126-130. https://doi.org/10.1109/ICICI.2017.8365321
Chicago Style (17th ed.) CitationMithra, K. S., and W. R. Sam Emmanuel. "An Efficient Approach to Sputum Image Segmentation Using Improved Fuzzy Local Information C Means Clustering Algorithm for Tuberculosis Diagnosis." 2017 International Conference on Inventive Computing and Informatics (ICICI) Nov. 2017: 126-130. https://doi.org/10.1109/ICICI.2017.8365321.
MLA (9th ed.) CitationMithra, K. S., and W. R. Sam Emmanuel. "An Efficient Approach to Sputum Image Segmentation Using Improved Fuzzy Local Information C Means Clustering Algorithm for Tuberculosis Diagnosis." 2017 International Conference on Inventive Computing and Informatics (ICICI), Nov. 2017, pp. 126-130, https://doi.org/10.1109/ICICI.2017.8365321.