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

Volume 11, Issue 2, February (2021)                               Cover Page and Table of Contents

S.No	Title & Authors	Full Text
1	Improved VGG-16 Convolutional Neural Network Based Lung Cancer Classification and Identification on Computed Tomography Amjad Khan, Zahid Ansari Abstract - Lung cancer is the dangerous disease where more number of death occurs in both men and women hence identifying such a disease is a challenging task. The identification of lung cancer tumor in the early stage will save the life of more number of patients by proper prognosis and treatment hence to decrease the death rate and increase the survival rate its identification and classification is necessary. Machine learning technique, opens the door 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 a clear and accurate classification VGG-16 model and its advanced model where more number of hidden layers was utilized which is an Improved VGG-16 model. The system developed were trained using LIDC-IDRI CT image dataset and it is evident from the experiments that the classification accuracy of Improved VGG-16 model is 97% and VGG-16 model is 86% with a very less false positive rates of 0.0567 and 0.12.	Download