Detection and Diagnosis of Lung Cancer using Machine Learning Convolutional Neural Network Technique

Abstract

The diagnosis and analysis of the lung diseases has been an appealing task for the clinical experts in the dawning and in the latter days. To certain extent, the analysis has to be done in an appropriate way to eliminate the risk of human lives by the prior detection of tumorous growth. Henceforth, there are various diagnosis technique available in the world and yet various stochastic expedient has been carried out. In the validating conviction, the enactment of the neural network technique has been initiated to examine the cancerous growth in the gathered image datasets. With the help of Artificial intelligence and deep learning technique the cancerous growth can be evaluated. In accordance to knock back the performance measures the supervised learning technique is implemented with the use of the deep learning technique. Convolutional Neural Network the stratagem for the tumor detection. The substructure of this work includes following constraints such as image acquisition, image pre-processing, image enhancement, image segmentation, feature extraction, neural identification. To put it succinctly, machine learning technique gives an innovational approach to enrich the decision support in lung tumor medicaments at less cost.