An Efficient 3-D Model for Early Prediction of Breast Cancer Based on Hybrid ANN - Fuzzy Model through Lossless Medical MR Images

Rapid advancements in technology has aided in early prediction of Breast cancer which is a high mortality rate characterized condition. Fuzzy and Neural network-based models have been effective in prediction of early occurrences of breast cancer. Any method now in use must be able to detect breast cancer in women at an early stage to effectively bring down the mortality rate. The major goal of the suggested approach is to apply 3-D picture lossless compression in NN to determine the tissue size from an MRI breast scanning image. The use of a 3-D predictor to categorise the photos and the application of the NN approach to determine the degree of breast cancer accuracy are the primary features of this work.