Lung Tumor Classification and Detection using Deep CNN

Registration ID: IJNRD_191860

Published ID: IJNRD2304412

DOI: Click Here to Get

Sri P. Anil kumar , Rachapudi Sai Sruthi , Tata Madhuri , Rellu Sravani

Deep Learning, Lung Cancer, AlexNet, Computed tomography.

According to the World Health Organization (WHO), lung tumors are responsible for the highest number of deaths globally. To improve a patient's chance of survival, a practical computer-aided diagnosis (CAD) system has been developed in this study. Early detection of lung cancer through computed tomography (CT) has the potential to save numerous lives annually. Nevertheless, analyzing a vast number of these scans is a daunting task for radiologists who frequently experience observer fatigue, resulting in reduced performance. As a result, there is a need to efficiently read, detect, and evaluate CT scans. This paper proposes a method to detect lung cancer in a CT scan using various models such as Resnet50, Resnet101, GoogleNet, VGG16, and AlexNet. Among these models, AlexNet provided the most accurate results. The author cropped 3D cancer masks on the reference image using the center of the lung cancer provided in the dataset and trained a model with different techniques and hyperparameters. Finally, the author evaluated the result using dice coefficient and confusion matrix metrics, achieving a 94.4% accuracy, 94.5% precision, 94.4% recall, and a score of 94.4% using the AlexNet algorithm on a test set of positive and negative samples.

Published Paper   E-Certificate

Sri P. Anil kumar, Rachapudi Sai Sruthi, Tata Madhuri, & Rellu Sravani (April-2023). Lung Tumor Classification and Detection using Deep CNN . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), e71-e77. https://ijnrd.org/papers/IJNRD2304412.pdf

Volume 8 Issue 4, April-2023

Pages : e71-e77

Paper Reg. ID: IJNRD_191860

Published Paper Id: IJNRD2304412

Downloads: 000121986

Research Area: Engineering

Country: prakasam, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304412.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304412

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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