Volume 20 No 7 (2022)
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Local binary fitting Median Filter for noise reduction in lung image datasets and classification
Ms. C. Keerthana, Dr. B. Azhagusundari
Abstract
The classification of medical data is the most difficult problem to solve among all research
problems since it has more commercial significance in the context of health analytics. Data are labelled
by classification, which enables efficient and productive performance in worthwhile analysis. According
to research, the effectiveness of the categorization may be negatively impacted by the quality of the
characteristic
Keywords
Lungs Disease dataset, Local Binary Fitting Median Filter with Artificial Neural Network, confusion matrix, classifier, segmentation.
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