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Research Article

Smart Brain Tumor Prediction System

Open Access Peer Reviewed Crossref DOI

Authors

  • VishwasKalunge1
  • Ashish Gaddhane2
  • Ansari Abutalha3
  • Aakash Pawar4
  • Ibrahimkhan Pathan5
  • Jayesh Bhalsing6

1Professor, Information Technology, JSPM’s Jayawantrao Sawant College of Engineering, Pune, India. 23456 Students, Information Technology, JSPM’s Jayawantrao Sawant College of Engineering, Pune, India.

Article Information

Published Online
May-June 2023
Pages
537-539
Article Type
Research Article
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References

1. E. Holland, “Glioblastoma multiforme:the terminator,” Proceedings of theNationalAcademyofSciences,97(12),pp.6242-6244.
2. K.Urban´ ska, J.Sokołowska, M.Szmidt, andP.Sysa,2014.Glioblastoma overview.Contemporaryoncology,18(5),p.307.
3. G. Anandgaonkar, G. Sable, 2014.Brain tumor detection and identificationfrom T1 post contrast MR images using cluster-based
segmentation. Interna-tionalJournalofScienceandResearch,3(4),814-7.
4. M. Sujan, N. Alam, S. Abdullah, M. Jahirul, 2016.A Segmentation
basedAutomatedSystemforBrainTumorDetection.InternationalJournalofCom-puterApplications,153(10),41-49.
5. U. ˙Ilhan, A. Ilhan, 2017, 9th International Conference on Theory and Appli-
cationofSoftComputing,ComputingwithWordsandPerception,ICSCCW.
6. TheCancerImagingArchive,2017.REMBRANDT.https://wiki.cancerimagingarchive.net/di NDT
7. G.Blanchet,andM.Charbit,2006.DigitalsignalandimageprocessingusingMATLAB(Vol.4).London:Iste.
8. C.Shannon,1948,Amathematicaltheoryof communication, TheBellSyst.Tech.J.27,pp.379–423.
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