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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
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Total Authors : 21252
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| Paper Title: | Lung Disease Detection using ResNet50 and Image Classification |
| Authors Name: | Raja S , Thiyanaish Kumaran AR , Thiruvalluvan K, , Naveensethupathy S , K.Gayathri |
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IJRTI_202188
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| Published Paper Id: | IJRTI2504088 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | Lung cancer is one of the leading causes of death worldwide, and early detection can make a huge difference in saving lives. In this project, we built a deep learning model that can automatically detect and classify different types of lung cancer from chest X-ray images. We used a pre-trained ResNet50 model and improved it with transfer learning so that it could better understand our specific dataset. Before feeding the images into the model, we enhanced them using a method called CLAHE to improve contrast and applied data augmentation techniques like rotation, brightness adjustment, and flipping to make the model more robust. We trained the model using the Adam optimizer along with a cosine learning rate schedule, and we added early stopping to prevent overfitting. The dataset was carefully split into training, validation, and test sets to ensure fair evaluation. Our model performed very well, achieving high accuracy and showing strong ability to differentiate between lung cancer types. We also visualized the results using confusion matrices and ROC curves for better understanding. To make it user-friendly, we built an interface where anyone can upload an X-ray image and get instant predictions with confidence scores. Overall, this project shows how deep learning can play a powerful role in supporting doctors with fast, reliable lung cancer detection. |
| Keywords: | Lung Cancer Detection , Chest X-ray Classification, Deep Learning ResNet50 , Transfer Learning , Image Preprocessing , CLAHE (Contrast Limited Adaptive Histogram Equalization) , Data Augmentation , Medical Imaging. |
| Cite Article: | " Lung Disease Detection using ResNet50 and Image Classification", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a706-a710, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504088.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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: IJRTI2504088
Registration ID:202188
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: a706-a710 Country: Coimbatore, Tamil Nadu, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504088 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504088 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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