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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
Machine Learning Based Lung Cancer Disease Prediction System
Authors
Nisha C D, Brijesh V, Eshwar Patil, Harshitha Suresh, Dr. Pavan G P
Keywords
YOLO, Deep Learning, Lung cancer, CNN.
Abstract
Small cell lung cancer (SCLC) is a type of malignant tumor that is characterized by rapid growth and early metastasis spread. Early and accurate SCLC diagnosis is critical for improved survival. Accurate cancer segmentation assists doctors in better understanding the location and size of cancer and making better diagnostic decisions. In this project, we are using the YOLO framework to pinpoint the exact location of a lung tumor that is attached to the border of blood veins, as well as to classify the tumour. The R-CNN techniques demonstrated in Part 1 primarily use regions to localize objects within an image. The network does not examine the entire image, but only the portions of the image that are more likely to contain an object. The main advantage of using YOLO is that it is extremely fast and accurate
IJCRT's Publication Details
Unique Identification Number - IJCRT24A4859
Paper ID - 258799
Page Number(s) - q215-q219
Pubished in - Volume 12 | Issue 4 | April 2024
DOI (Digital Object Identifier) - http://doi.one/10.1729/Journal.39175
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Nisha C D, Brijesh V, Eshwar Patil, Harshitha Suresh, Dr. Pavan G P, "Machine Learning Based Lung Cancer Disease Prediction System", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.q215-q219, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A4859.pdf
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Volume 12 | Issue 7
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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