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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Lung Cancer Prediction Using Deep Learning method |
| Authors Name: | Lithesh Gadikota , Sai Teja Tirumani , Venkata Yuva Naga Sai Nunna , Venkata Vara Prasad Padyala |
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IJNRD_200057
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| Published Paper Id: | IJNRD2306516 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | Lung cancer is a significant public health concern, and early identification can improve patient outcomes. Advanced machine learning approaches can increase the precision of computer-aided diagnostic (CAD) systems that use medical pictures to diagnose diseases, such as CT scans, which can help find lung cancer. In this paper, we examine the usage of image analysis and CAD while also proposing an unique method for predicting lung cancer using Convolutional Neural Network (CNN) approaches. Our study utilized a dataset of lung CT scans from patients with and without lung cancer. The lung regions important characteristics were extracted from the preprocessed pictures using segmentation and feature extraction techniques. After that, we used these variables to train a CNN model to identify the likelihood of lung cancer. Our paper demonstrates the potential of CNN techniques and image analysis in predicting lung cancer with high accuracy rates. The suggested method might be utilized to create more precise and efficient CAD systems for diagnosing lung cancer, possibly resulting in early identification and better patient outcomes. Further research is required to examine the clinical applications of this technique and to confirm these findings in bigger datasets. |
| Keywords: | Lung cancer, Prediction, Convolutional neural network, CT scan, Image analysis, Computer-aided diagnosis, Medical imaging, Tumor detection |
| Cite Article: | "Lung Cancer Prediction Using Deep Learning method", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.f139-f144, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306516.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2306516 Registration ID: 200057 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: f139-f144 Country: Kadapa, Andhra Pradesh, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2306516 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2306516 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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