Lung Cancer Detection using CT Scan Images in CNN Algorithm |
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| © 2023 by IJCTT Journal | ||
| Volume-71 Issue-4 |
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| Year of Publication : 2023 | ||
| Authors : Velagapudi Sreenivas, Anupoojitha Gadila, Triveni Attunuru, Snowja Chodavarapu, Sathvika kesamaneni | ||
| DOI : 10.14445/22312803/IJCTT-V71I4P111 | ||
How to Cite?
Velagapudi Sreenivas, Anupoojitha Gadila, Triveni Attunuru, Snowja Chodavarapu, Sathvika kesamaneni, "Lung Cancer Detection using CT Scan Images in CNN Algorithm," International Journal of Computer Trends and Technology, vol. 71, no. 4, pp. 91-96, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I4P111
Abstract
A terrible illnessthat claimslives quickly all around the world islung cancer.Because deaths from lung cancer are happening more frequently, the second most frequentform of cancerislung cancer, according to studies. An automated method is required to predictthe illness and save a person's life. The accuracy and quality of the images are the main factorsin this study. The enhancement step is when low-level—employing pre-processing methods that use the Gabor filter inside the Gaussian rulesto assess and enhance the image quality. Thefeatures of normal and abnormal photos are extracted using the segmentation and enhancement technique. A comparison of normalcy is performed based on shared traits. In this study, the key criteria to check for in order to accurately compare photographs are pixelspercentage and mask labelling. Because We chose to use CNN algorithmsto analyse CT scanpictures in order because the lung tissue is where this specific type of cancer frequently first appears to identify lung cancer.
Keywords
AI, Machine Learning, Optical Character Recognition (OCR), Deep Learning, Neural Networks.
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