Predicting Scope for Survival Rate of Bone Metastases Patients with Deep Learning

Authors

  • K. Revathi Dhanalakshmi College of Engineering, Chennai – 601301, INDIA
  • T. Tamilselvi SRM Institute of Science and Technology (Ramapuram Campus), Chennai – 600089, INDIA
  • R. Arun Kumar Rajalakshmi Institute of Technology, Chennai - 600124, INDIA
  • D. Tamilmalar Sri Sairam Engineering College, Chennai – 602109, INDIA

Keywords:

Convolutional neural network, Deep learning, Metastasized bone tumors, Image processing, Image processingWireless sensors

Abstract

Bone cancer exists in two forms namely primary and secondary. The primary bone cancers are the ones that grow from the bone cells. The secondary bone cancers are also known as metastasized which developed from other organs and penetrated into bone. The national cancer institute states that occurrence rate of primary cancer are found to be less than 1% and the secondary forms are the most common ones in its highest rate of occurrence. Predicting the various forms of metastases bone cancer early in advance mitigates the further growth of tissues and evacuation treatment plans reduces the miserable consequences and increases the survival rate of the patient. The proposed system aims to develop a preventive kind of medical service devoted to metastasized bone cancers with a help of an improvised Convolutional Neural Network (CNN). Further the efficiency of the proposed model is investigated against the most common learning algorithms like decision tree, k-nearest neighbor (KNN), logistic regression, and random forest.

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Published

24.03.2024

How to Cite

Revathi, K. ., Tamilselvi, T. ., Kumar, R. A. ., & Tamilmalar, D. . (2024). Predicting Scope for Survival Rate of Bone Metastases Patients with Deep Learning . International Journal of Intelligent Systems and Applications in Engineering, 12(19s), 485–490. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5089

Issue

Vol. 12 No. 19s (2024)

Section

Research Article

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