Research Journal of Pharmacy and Technology

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0974-360X (Online)
0974-3618 (Print)


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Optimized Deep Learning based Approach for Enhanced frame work of Automated Diagnosis of Diabetic Retinopathy

Author(s): Lavanya Ravala, Rajini G.K.

Email(s): rajini.gk@vit.ac.in , rlavanya@nbkrist.org

DOI: 10.52711/0974-360X.2024.00686

Address: Lavanya Ravala1, Rajini G.K.2*
1School of Electronics Engineering, Vellore Institute of Technology, Vellore.
2Professor, School of Electrical Engineering. Vellore Institute of Technology, Vellore.
*Corresponding Author

Published In:   Volume - 17,      Issue - 9,     Year - 2024


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Cite this article:
Lavanya Ravala, Rajini G.K.. Optimized Deep Learning based Approach for Enhanced frame work of Automated Diagnosis of Diabetic Retinopathy. Research Journal of Pharmacy and Technology. 2024; 17(9):4443-8. doi: 10.52711/0974-360X.2024.00686

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RNI: CHHENG00387/33/1/2008-TC                     
DOI: 10.52711/0974-360X 

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Research Journal of Pharmacy and Technology (RJPT) is an international, peer-reviewed, multidisciplinary journal, devoted to pharmaceutical sciences. The aim of RJPT is to increase the impact of pharmaceutical research both in academia and industry, with strong emphasis on quality and originality. RJPT publishes Original Research Articles, Short Communications, Review Articles in all areas of pharmaceutical sciences from the discovery of a drug up to clinical evaluation. Topics covered are: Pharmaceutics and Pharmacokinetics; Pharmaceutical chemistry including medicinal and analytical chemistry; Pharmacognosy including herbal products standardization and Phytochemistry; Pharmacology: Allied sciences including drug regulatory affairs, Pharmaceutical Marketing, Pharmaceutical Microbiology, Pharmaceutical biochemistry, Pharmaceutical Education and Hospital Pharmacy.    
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