An Effective Method for Lung Cancer Diagnosis from CT Scan Using Deep Learning-Based Support Vector Network

Resumen

This study provides an efficient method for lung cancer diagnosis from computed tomography images and employs deep learning-supported support vector machine. Experimental results indicates that the proposed approach yields a 94% accuracy and performs better than existing models.