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@article{152482,
        author = {Monish K and Nikhil N Y and M Prashanth and Manjunatha M and Dr.Karthick Raghunath K.M},
        title = {Early Detection Of Lung Cancer},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {3},
        pages = {554-557},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=152482},
        abstract = {The project aims at early lung cancer diagnosis using deep learning technique. Lung cancer in recent times is considered to be the highest cancer mortality rate. The basic drawback for this rate is due to unavailability of voxel-based annotations for training, which are labour and time consuming. Computed Tomography Images (CT) is a crucial for detection of lung cancer which is high in efficiency and labour saving along with its major advantages of Visualizing small images or Low contrast nodules The survival rate for a person affected by lung cancer can be increased, if it is detected in its early stages. The detection of the cancer cells that cause the lung cancer, is one of the main concerns in the field of medical image processing. Nodules are one of the most usual signs of lung cancer. This paper proposes a system to detect lung nodule by using CT image. It consists of five stages, Pre-Processing, Lung Region Extraction, Nodule Segmentation, Feature Extraction, and Classification. The slice number which contains even the smallest nodules are also identified. This can help radiologists and doctors to detect lung cancer in early stages. },
        keywords = {Lung Cancer, Nodules, Deep Learning Technique.},
        month = {},
        }