Welcome to Journal of Network Communications and Emerging Technologies (JNCET)

Volume 11, Issue 3, March (2021)                               Cover Page and Table of Contents

S.No	Title & Authors	Full Text
1	Enhanced AlexNet Convolutional Neural Network Based Classification for Identification of Lung Cancer Amjad Khan, Zahid Ansari Abstract - Lung cancer is a hazardous disease that many deaths were occur in both men and women from this deadly disease. Hence suitable mechanism should be adopted to detect and identify this disease in the initial stage to save the life of large number of peoples suffering from lung cancer. The identification of lung cancer tumor in the early stage, proper prognosis and treatment will decrease the death rate and increase the survival rate. Machine learning technique used to predict, identify and classify this disease however deep learning under machine learning brings a wide way to analyze and evaluate the features of tumor from its CT images. The system proposed in this paper provides an accurate classification AlexNet model and its advanced model where more number of hidden layers was utilized which is an Enhanced AlexNet model. The system developed were trained using LIDC-IDRI CT image dataset and it is evident from the experiments that the classification accuracy of Enhanced AlexNet model is 99% and AlexNet model is 97% with a very less false positive rates of 0.0196 and 0.0392.	Download