Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM15485

Lung Cancer Detection Using ML

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM15485

Volume:

6 |

7 |

Jul 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

Pc

Pritish chepure

Author Services & Downloads

Full Articles

Abstract

The results of the National Lung Screening Trial, which suggested reduced mortality in high-risk subjects undergoing CT screening, sparked discussion about establishing a lung cancer screening programme. Important questions about the benefit-harm balance, as well as the specifics of a screening program’s cost-effectiveness, remain unanswered. A group of experts chest radiology, respiratory medicine, and epidemiology experts Following several meetings, representatives from cardiology and thoracic surgery from all Swiss university hospitals drafted this joint statement. The panel claims that the introduction of a lung cancer virus is uncontrolled and premature.nThe screening programme could result in long-term harm.Without strict quality control, undetectable. This position statement focuses on the requirements for running a programme like this with the the goal of coordinating efforts across the board The underlying statement contains information on current evidence for lung cancer screening reducing mortality, as well as the epidemiologic implications of such a programme in Switzerland. There are also requirements for lung cancer screening centres, as well as recommendations for both the CT technique and the lung cancer screening algorithm. Nodule evaluations are available. Furthermore, related issues such as The topics of patient management, registry, and funding are all covered. Based on based on current knowledge, the panel concludes that lung In Switzerland, cancer screening should be done exclusively. within the context of a national observational study to provide answers to Before considering broad population-based data, there are a few key questions to consider.lung cancer examination.

KEYWORDS

CNN Preprocessing Feature Extraction

Cite This Article

Pritish chepure, "Lung Cancer Detection Using ML," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 7, Jul 2022.

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

7/10/2022

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

0

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...