Human Health Image Diagnosis Features and Techniques
Ankit Patel
, Prof. Anjana Verma , Dr. Kalpana Rai , Dr. Sneha Soni
Data analysis, Digital image processing, Information classification, visual processing
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.
"Human Health Image Diagnosis Features and Techniques", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 11, page no.167 - 172, November-2022, Available :https://ijsdr.org/papers/IJSDR2211028.pdf
Volume 7
Issue 11,
November-2022
Pages : 167 - 172
Paper Reg. ID: IJSDR_202375
Published Paper Id: IJSDR2211028
Downloads: 000347182
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
