An Extensive Review on Lung Cancer Diagnosis Using Machine Learning Techniques on Radiological Data: State-of-the-art and Perspectives-Reference-Cited by-同舟云学术

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An Extensive Review on Lung Cancer Diagnosis Using Machine Learning Techniques on Radiological Data: State-of-the-art and Perspectives

Published:2023-07-04 Issue:8 Volume:30 Page:4917-4930
ISSN:1134-3060
Container-title:Archives of Computational Methods in Engineering
language:en
Short-container-title:Arch Computat Methods Eng

Author:

Shah Syed Naseer Ahmad^ORCID,Parveen Rafat

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11831-023-09964-3.pdf

Reference53 articles.

1. Lung cancer : MedlinePlus Genetics. https://medlineplus.gov/genetics/condition/lung-cancer/ (20 December 2022, date last accessed)

2. Cooper GM (2000) The Development and Causes of Cancer.

3. Promoting cancer early diagnosis. https://www.who.int/activities/promoti0ng-cancer-early-diagnosis (20 December 2022, date last accessed).

4. Chaudhury S, Krishna AN, Gupta S et al (2022) ; 2022

5. Dev C, Kumar K, Palathil A, Anjali T, Panicker V (2019) Machine Learning Based Approach for detection of Lung Cancer in DICOM CT Image. Adv Intell Syst Comput 904:161–173

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