A New Method Based on Adaptive Discrete Wavelet Entropy Energy and Neural Network Classifier (ADWEENN) for Recognition of Urine Cells from Microscopic Images Independent of Rotation and Scaling.

The article focuses on a proposed technique based on adaptive discrete wavelet entropy energy and neural network classifier (ADWEENN) for the recognition of urine cells from microscopic images that are independent of rotation and scaling. It mentions the importance of the microscopic examination of urine cells in renal and urinary tract disease evaluation, stages in the ADWEENN algorithm such as preprocessing, feature extraction and classification, and the finding of 97.58% recognition success.