Lung cancer detection research paper

In this study, we trained a deep convolutional neural network inception v3 on whole-slide images obtained from The Cancer Genome Atlas to accurately and automatically classify them into LUAD, LUSC or normal lung tissue. It achieved a kappa score of 0. To the best of our knowledge, this is the first study to investigate capsule networks for making predictions based on radiologist-level interpretable attributes and its applications to medical image diagnosis. Recent studies have highlighted the high correlation between cardiovascular diseases CVD and lung cancer, and both are associated with significant morbidity and mortality.
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Lung Cancer Detection and Classification Using Deep CNN

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[PDF] Identifying Lung Cancer Using Image Processing Techniques | Semantic Scholar

Lung cancer is the number one cause of cancer-related death in men and the second most common in women. Lung cancer is responsible for 1. The most common cause of lung cancer is smoking. Other risk factors include genetics, radon gas, asbestos and air pollution which includes secondhand smoke. Diagnostics is an important part of cancer treatment. Distinction between lung cancers is important because of the difference in treatments. Chest radiograph and computed tomography CT scan are used to visualize the lung cancer.
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Lung Cancer Detection Using Chi-Square Feature Selection and Support Vector Machine Algorithm

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Sasikala and M. Bharathi and B. Sasikala , M.
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We use cookies to enhance our website for you. Proceed if you agree to this policy or learn more about it. Type of paper: Research Paper. Lung cancer also called — carcinoma of lungs is a type of malignant tumor. It emerges from cells paving lungs and bronchi.
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