Prepare an Interactive GUI for Mammogram Image Processing to the detection of Breast Cancer by Back Propagation Algorithm using MATLAB

Author(s)	Mr. Chintan Roy, Mr. Jit Modak, Ms. Poulmi Banerjee, Mr. Sukdeb Saha, Ms. Sangita Maity, Ms. Sutapa Sadhukhan, Ms. Pallabi Karmakar
Country	India
Abstract	A wide array computational methods has been exploring about Breast tumors as either malignant or benign by using back propagation method. In this research, the complex problem like identification, pattern recognition prediction and so forth are solved by Back Propagation method within MATLAB. The main goal of this research is to evaluate the predictive nature of the tumor through the mention algorithm with the dataset. In this network focusing on the input, hidden node and the output, where 5 input nodes ,6 hidden layer and 1 output node is designed for the classification of the mammogram data. The dataset is collected from “Prof. Dr. R¸diger Schulz-Wendtland Original owners of database” which specifies that the BIRADS evaluation of mammography”, from where we used 70% data for training and 30% data for testing purpose. The mammogram images are collected from “https://www.kaggle.com/datasets/hayder17/breast-cancer-detection” for the identify the accuracy of the network which has been used for the purpose of easy diagnosis.
Keywords	Back Propagation, Mammogram, Accuracy, Diagnosis
Field	Engineering
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-05-08

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International Journal For Multidisciplinary Research