UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 6 Issue 3
March-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1903J20


Registration ID:
202619

Page Number

129-133

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Title

Diagnosis of immedicable diseases using Scanned Images

Authors

Abstract

In these dynamic world, the interest in digital biomedical image processing methods play a wide role .This paper presents a survey on methods that use digital image processing techniques to detect and classify the human disease like cancer , ulcer , diabetics etc . These are scanned through machines and the scanned reports are used to analysis the health status. But here theses scanned images are directly converted into text and audio using LCD and voice board.

Key Words

Diagnosis of immedicable diseases using Scanned Images

Cite This Article

"Diagnosis of immedicable diseases using Scanned Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.129-133, March-2019, Available :http://www.jetir.org/papers/JETIR1903J20.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Diagnosis of immedicable diseases using Scanned Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp129-133, March-2019, Available at : http://www.jetir.org/papers/JETIR1903J20.pdf

Publication Details

Published Paper ID: JETIR1903J20
Registration ID: 202619
Published In: Volume 6 | Issue 3 | Year March-2019
DOI (Digital Object Identifier):
Page No: 129-133
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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