Krithick I

Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, India

Publications

• Review   
  Classifying Lung and Breast Tumor Prediction Using Support Vector Machine and Deep Convolutional Neural Network
  Author(s): Aswitha S*, Shanmuganathan C, Yogesh S and Krithick I
  
  Cancer remains a global health challenge, demanding innovative solutions for early detection and precise classification. This project presents a multistage approach for tumor classification and detection in the context of classifying between benign and malignant cancer. Our use case is to take breast and lung cancer for deploying our model to predict whether they have benign or malignant tumor. The system leverages SVM machine learning and CNN deep learning technique to provide accurate and actionable insights for medical practitioners. The first stage focuses on breast tumor classification using Support Vector Machines (SVM) based on key tumor biomarkers, including 'mean radius,' 'mean texture,' 'mean perimeter,' 'mean area,' and 'mean smoothness.' This initial classification helps identify malignant cases, prompting further evaluation. In the .. Read More»