Volume - 13 | Issue-1
Volume - 13 | Issue-1
Volume - 13 | Issue-1
Volume - 13 | Issue-1
Volume - 13 | Issue-1
Aim: The Objective of the work is to predict the Accuracy of Breast Cancer Prediction Using a Novel Convolutional Neural Network (NCNN) Comparative with the Watershed Transform Algorithm (WTA). Material and Methods: Accuracy and Loss are performed with a dataset from the GitHub library. The total sample size is 48. The two groups Novel Convolutional Neural Network (N=24), Watershed Transform Algorithm (N=24) watershed transform algorithm (WTA) was proposed by predicting the accuracy (80.90%) of Breast Cancer Prediction compared with the Novel Convolutional Neural Network. Results: The Result proved that the watershed Transform algorithm with Better accuracy than the Convolutional Neural Network. The Novel Convolutional Neural Network appears significantly better than Watershed Transform Algorithm (p<0.05). Discussion and Conclusion: The Prediction of breast cancer is better in novel Convolutional neural networks when compared with the watershed transform algorithm (WTA).