Development of Machine Learning Algorithm (LVQ) for the detection of Breast Tumor using MATLAB

Jit Modak; Sukdeb Saha; Chintan Roy; Poulmi Banerjee; Koheli Adhikary; Ayan De; Aniket Giri; Subham Ghosh

Development of Machine Learning Algorithm (LVQ) for the detection of Breast Tumor using MATLAB

Author(s)	Mr. Jit Modak, Mr. Sukdeb Saha, Mr. Chintan Roy, Ms. Poulmi Banerjee, Ms. Koheli Adhikary, Mr. Ayan De, Mr. Aniket Giri, Mr. Subham Ghosh
Country	India
Abstract	Breast cancer is recognized as the most prevalent malignancy among females and is the second primary cause of cancer-related mortality, following lung cancer. While various genetic codes play a role for the formation of breast cancer. Many techniques are employed to identify breast cancer. This paper presents a MATLAB-based Artificial Neural Network through Learning Vector Quantization algorithm for detecting breast cancer using mammography images. Learning Vector Quantization one of the most pattern recognize method through it, the output unit represent specific class. The weight vector of the output refer as a codebook vector of the particular category. During training process the position should be adjusted with their weight through the supervised learning method. We assumed a set of training pattern with some known data for the purpose of classification of the malignant and benign tumor, where 70% data are uses as training and 30% data are uses as testing purpose(“Prof. Dr. R¸Diger Schulz-Wendtland Original owners of database” which specifies that the BIRADS evaluation of mammography’s”).Some unknown data are collected from the website to find the efficiency of the network.
Keywords	Supervised learning, Learning Vector Quantization, Pattern, Codebook vector
Field	Engineering
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-05-08

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Development of Machine Learning Algorithm (LVQ) for the detection of Breast Tumor using MATLAB

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