A Novel Approach for Lung Cancer Detection Using Deep Learning Algorithms
Keywords:
Lung cancer, Deep learning, Medical imaging, CNNAbstract
Lung cancer is a pervasive and life-threatening disease, often identified at progressive phases, which significantly reduces treatment achievement rates. Early and accurate discovery of lung cancer is paramount for refining patient results. In this research, we present a comprehensive study on the application of deep learning techniques for lung cancer detection. Leveraging a diverse dataset of medical images, we developed and fine-tuned deep convolutional neural networks (CNNs) to identify lung cancer lesions with high sensitivity and specificity. Our results showcase the potential of deep learning as a valuable tool for early lung cancer detection, with the promise of aiding clinicians in timely diagnosis and intervention. We discuss the methodology, experimental results, and the implications of our findings, emphasizing the significant impact on the field of medical imaging and cancer diagnostics.
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Copyright (c) 2024 Shashikala S., Nargis Parveen, Albia Maqbool, Humera Khan, Sana Khamis Alghadeer, Gurwinder Singh
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