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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 117
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| Paper Title: | DIABTIC RETINOPATHY DETECTION SYSTEM BY DEEP LEARNING |
| Authors Name: | Vaibhav Sathe , Yogesh K Sharma |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_186607
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| Published Paper Id: | IJRTI2305056 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | Diabetic Retinopathy (DR) is an eye fixed disease in humans with diabetes which may damage the retina of the attention and can motive overall visible impairment. consequently it's miles crucial to discover diabetic retinopathy in the early section to avoid blindness in humans. Our goal is to come across the presence of diabetic retinopathy with the aid of applying gadget mastering algorithms. subsequently we attempt and summarize the various models and techniques used in conjunction with methodologies used by them and analyze the accuracies and consequences. it will give us exactness of which set of rules might be suitable and greater correct for prediction. device studying encompass some of stages to come across retinopathy inside the images that includes changing image to suitable enter layout, numerous preprocessing techniques. it is usually schooling a version with a training set and validating with a one of a kind testing set. approach proposed in this challenge can be listed photograph Preprocessing, and Supervised gaining knowledge of and function Extraction. First, the pix are preprocessed. they're transformed. right resizing of photo is likewise accomplished. because the pix are heterogeneous they compressed into a suitable length and layout. the principle objective of this work is to construct a strong and noise well matched system for detection of diabetic retinopathy. |
| Keywords: | Android, Deep neural community, Diabetic retinopathy,Transfer learning, Switch mastering. |
| Cite Article: | "DIABTIC RETINOPATHY DETECTION SYSTEM BY DEEP LEARNING", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.376 - 380, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305056.pdf |
| Downloads: | 000205150 |
| 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 |
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Published Paper ID: IJRTI2305056
Registration ID:186607
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 376 - 380 Country: Pune, Mahashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2305056 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2305056 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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