Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Diabetes disease is the fastest growing disease in India, which will affect our eye indirectly and it is called as diabetic retinopathy which will lead to vision loss where exudates formation is the prominent early sign of DR. So our propose method is to successfully detect the exudates with 94% accuracy by nullifying the optic disc because the OD and exudates are of same intensity. Image processing and linear regression, a machine learning technique is involved, which is used to train machine to differentiate between OD and exudates. This helps ophthalmologist’s life easy to treat patients in early stage.
Keywords:
Diabetes, diabetic retinopathy, linear regression, machine learning, image processing
Cite Article:
"Exudates Detection in Fundus Image using Image Processing and Linear Regression Algorithm", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.5, Issue 6, page no.13 - 19, June-2020, Available :http://www.ijrti.org/papers/IJRTI2006004.pdf
Downloads:
000204841
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator