Multimodal Analysis of Medical Images for the Efficient Diagnosis of Lung Cancer

  • Mr. C. Vinod, Dr. D. Menaka
Keywords: CT, lung cancer, nodule, tumor, feature fusion

Abstract

In an era of advanced technology, medical images can be examined very effectively. Familiar imaging schemes can be examined in a traditional manner. But here a different approach towards the imaging system improves the overall efficiency of the diagnostic system. Deep learning methods contribute a lot to the diagnosis of diseases like Lung Cancer. Multimodal image analysis provides highly accurate results with the aid of deep learning techniques. Conventional methods that are available for the purpose are limited to clinical data and probability predictions. Here the proposed methodology helps to improve the overall result in the diagnosis of lung diseases. The observations are concentrated on available independent Lung Cancer imaging dataset.

Published
2021-08-24
How to Cite
Dr. D. Menaka, M. C. V. (2021). Multimodal Analysis of Medical Images for the Efficient Diagnosis of Lung Cancer. Design Engineering, 3121- 3126. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/3668
Section
Articles