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The system utilizes computed tomography (CT) scans to train a model that can accurately detect lung cancer. Image processing and feature extraction techniques are employed to enhance image quality and extract relevant features. The performance of various machine learning models, including support vector machines (SVMs), random forests, and neural networks, is evaluated. Experimental results demonstrate the effectiveness of the proposed system in detecting lung cancer at an early stage.\n\nKeywords:\nLung Cancer Detection, Machine Learning, Computed Tomography (CT) Scans, Image Processing, Feature Extraction, Support Vector Machines (SVMs), Random Forests, Neural Networks, Cancer Diagnosis, Medical Imaging.\n\n### Project include: \n\n1. Synopsis\n\n2. PPT\n\n3. Research Paper\n\n\n4. Code\n\n5. Explanation video\n\n6. Documents\n\n7. Report\n\n\n### Need Code, Documents \u0026 Explanation video ? \n\n## How to Reach me :\n\n### Mail : vatshayan007@gmail.com \n\n### WhatsApp: +91 9310631437 (Helping 24*7) **[CHAT](https://wa.me/message/CHWN2AHCPMAZK1)** \n\n### Website : https://www.finalproject.in/\n\n### Contact me for any kind of help on projects.\n### 1000 Computer Science Projects : https://www.computer-science-project.in/\n\n\nMail/Message me for Projects Help 🙏🏻\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprojects-developer%2Flung-cancer-detection-system-using-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprojects-developer%2Flung-cancer-detection-system-using-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprojects-developer%2Flung-cancer-detection-system-using-machine-learning/lists"}