scholarly journals Diabetic Retinopathy Detection Using Classical-Quantum Transfer Learning Approach and Probability Model

2022 ◽  
Vol 71 (2) ◽  
pp. 3733-3746
Author(s):  
Amna Mir ◽  
Umer Yasin ◽  
Salman Naeem Khan ◽  
Atifa Athar ◽  
Riffat Jabeen ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Transfer Learning ◽  
Probability Model ◽  
Learning Approach ◽  
Classical Quantum

scholarly journals Transfer Learning approach for grading of Diabetic Retinopathy

2021 ◽  
Vol 1767 (1) ◽  
pp. 012033
Author(s):  
T Aswathi ◽  
T R Swapna ◽  
S Padmavathi
Keyword(s):  
Diabetic Retinopathy ◽  
Transfer Learning ◽  
Learning Approach

Diabetic Retinopathy Grading by a Source-Free Transfer Learning Approach

2022 ◽  
Vol 73 ◽  
pp. 103423
Author(s):  
Chenrui Zhang ◽  
Tao Lei ◽  
Ping Chen
Keyword(s):  
Diabetic Retinopathy ◽  
Transfer Learning ◽  
Learning Approach

The Diagnosis of Diabetic Retinopathy: A Transfer Learning Approach

2021 ◽  
Author(s):  
Farhan Nabil Mohd Noor ◽  
Anwar P.P. Abdul Majeed ◽  
Mohd Azraai Mod Razmam ◽  
Ismail Mohd Khairuddin ◽  
Wan Hasbullah Mohd Isa
Keyword(s):  
Diabetic Retinopathy ◽  
Transfer Learning ◽  
Learning Approach

scholarly journals A Transfer Learning Approach for Diabetic Retinopathy and Diabetic Macular Edema Severity Grading

2021 ◽  
Vol 35 (6) ◽  
pp. 497-502
Author(s):  
Nida Nasir ◽  
Neda Afreen ◽  
Ranjeeta Patel ◽  
Simran Kaur ◽  
Mustafa Sameer
Keyword(s):  
Diabetic Retinopathy ◽  
Macular Edema ◽  
Diabetic Macular Edema ◽  
Transfer Learning ◽  
Learning Approach ◽  
Learning Technique ◽  
Working Age ◽  
Severity Grading ◽  
Aided Diagnosis

Diabetic Retinopathy (DR) and Diabetic Macular Edema (DME) are complication that occurs in diabetic patient especially among working age group that leads to vision impairment problem and sometimes even permanent blindness. Early detection is very much needed for diagnosis and to reduce blindness or deterioration. The diagnosis phase of DR consumes more time, effort and cost when manually performed by ophthalmologists and more chances of misdiagnosis still there. Research community is working on to design computer aided diagnosis system for prior detection and for DR grading based on its severity. Ongoing researches in Artificial Intelligence (AI) have set out the advancement of deep learning technique which comes as a best technique to perform analysis and classification of medical images. In this paper, research is applied on Resnet50 model for classification of DR and DME based on its severity grading on public benchmark dataset. Transfer learning approach accomplishes the best outcome on Indian Diabetic Retinopathy Image Dataset (IDRiD).

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