INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Human Health Image Diagnosis Features and Techniques
Authors Name:
Ankit Patel
, Prof. Anjana Verma , Dr. Kalpana Rai , Dr. Sneha Soni
Unique Id:
IJSDR2211028
Published In:
Volume 7 Issue 11, November-2022
Abstract:
Human has increase the comfort in the day to day life, sometime this brings some serious health issues as well. So dependency on medical professional is highly increases. To reduce such load image vision develops medical report diagnosis algorithms that contribute in decision making for specific issue. This paper has involved the detailed explanation of various approaches proposed by image diagnosis researchers, specially chest images of covid-19. As image work depends on feature selection hence paper has list few of features that increases the understanding of topic. Some of classification techniques of image were also discussed. Comparing parameters for image diagnosis techniques were also list in paper.
Keywords:
Data analysis, Digital image processing, Information classification, visual processing
Cite Article:
"Human Health Image Diagnosis Features and Techniques", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 11, page no.167 - 172, November-2022, Available :http://www.ijsdr.org/papers/IJSDR2211028.pdf
Downloads:
000336257
Publication Details:
Published Paper ID: IJSDR2211028
Registration ID:202375
Published In: Volume 7 Issue 11, November-2022
DOI (Digital Object Identifier):
Page No: 167 - 172
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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