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  Authors

K.DEEKSHITH BUTT,L.PRIYA,J.ARUNA,G.ANITHA CHOWDARY

  Keywords

SVM algorithm, CNN algorithm, Deep Learning, Machine Learning

  Abstract


Machine Literacy is a branch of artificial intelligence that employs a variety of statistical, probabilistic, and optimization ways that allow computers to "learn" from one exemplification and to descry hard- to- discern patterns from large, noisy, or complex data sets. Machine literacy offers a top approach for developing sophisticated, automatic, and objective algorithms for the analysis of high-dimensional and multimodal biomedical data. Machine literacy plays an important part in medical systems. before identification of conditions, we can be helped to descry them before and more directly, which can save numerous people as well as reduce the pressure on the system. Lung The early identification and vaticination of lung cancer have become a necessity in the exploration, as they can grease the posterior clinical operation of cases. Machine Learning grounded decision support systems donate the croakers. Machine Learning and Deep Learning are used to reuse data as well as produce models for diagnosing cases. Combining the processing of patient information with data from casket X- rays, using CNN with the well- known-trained model, Caps Net network for data this form are the styles used for this design to identify lung conditions originally and dissect the data set, also apply Machine literacy and Deep literacy to prognosticate whether the case has lung complaint or not. The project is a double bracket with input being the case's data (age, gender, casket X-ray images & view position) and the affair is set up what the complaint is or not. The paper aims to describe and diagnose lung cancer as beforehand as possible with help of algorithms like SVM and CNN which will help the croaker.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2304244

  Paper ID - 234068

  Author type - Indian Author

  Page Number(s) - c84-c86

  Pubished in - Volume 11 | Issue 4 | April 2023

  DOI (Digital Object Identifier) -   

  No Of Downloads - 177

  Author Country - India, 506313, Warangal, Warangal, 506313, Science and Technology

  Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2304244

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2304244

  Published Paper PDF Downlaod: - download.php?file=IJCRT2304244

  Cite this article

K.DEEKSHITH BUTT,L.PRIYA,J.ARUNA,G.ANITHA CHOWDARY,   "Prediction Of Lung Cancer Using Deep Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 4, pp.c84-c86, April 2023, Available at :http://www.ijcrt.org/papers/IJCRT2304244.pdf

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