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Staged Classification Of Lungs Using Convolutional Neural Networks
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| Author:
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MS.PRAJAKTA KALE, DR.P.S.MISHRIKOTKAR, DR.NIKHANT BANO, DR.SANTOSH K.YADAV
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| Abstract:
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Growing advancements in automation industry have paved a way for medicine domain in terms of CAD system as an aid for health practitioners. Lung cancer is one such disease where accuracy and aid are of utmost important for proper diagnosis and enhanced survival rate. In the following comprehensive study, we aim at developing a Computer Aided Diagnostic System for detecting the lung cancer in the patient based on the Computed Tomography scan along with the predicting the stage of lung cancer. The proposed model is based upon the two-dimensional Convolutional Neural Networks with accuracies of 99% and 98% respectively for both the stages – detection and prediction. In future we aim at developing this system for other types of cancers.
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| Keyword:
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Computed Tomography Scans, Lung Cancer, Convolutional Neural Networks, Predictive analysis
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| EOI:
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-
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| DOI:
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https://doi.org/10.31838/ijpr/2021.13.02.080
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| Download:
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