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Title: :  Interactive Joint Feature Extraction for Diabetic Retinopathy Classification using Multiple Instance Neural Symbolic Learning
PaperId: :  26500
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 3 2025
DUI:    16.0415/IJARIIE-26500
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
K PurushothamSri Venkatesa Perumal College of Engineering & Technology
R RADHASri Venkatesa Perumal College of Engineering & Technology
R YESWANTHSri Venkatesa Perumal College of Engineering & Technology
P Vishnu Vardhan Reddy Sri Venkatesa Perumal College of Engineering & Technology
P ANIL KUMARSri Venkatesa Perumal College of Engineering & Technology
T SAINATH REDDYSri Venkatesa Perumal College of Engineering & Technology

Abstract

Sri Venkatesa Perumal College of Engineering & Technology
Diabetic retinopathy, retinal fundus images, multi-class classification, deep learning, weighted average ensemble.
In recent years deep learning (DL) techniques have provided state-of-the-art performance on different medical imaging tasks. However the availability of good quality annotated medical data is very cha lenging due to involved time constraints and the availability of expert annotators e.g. radiologists. In addition DL is data-hungry and their training requires extensive computational resources. Another problem with DL is their black-box nature and lack of transparency on its inner working which inhibits causal understanding and reasoning Automatic classification of diabetic retinopathy from retinal images has been widely studied using deep neural networks with impressive results. However there is a clinical need for estimation of the uncertainty in the classifications a shortcoming of modern neural networks. Recently approximate Bayesian deep learning methods have been proposed for the task but the studies have only considered the binary referable/non-referable diabetic retinopathy classification applied to benchmark datasets. We present novel results by systematica ly investigating a clinical dataset and a clinica ly relevant -class classification scheme in addition to benchmark datasets and the binary classification scheme. Moreover we derive a connection between uncertainty measures and classifier risk from which we develop a new uncertainty measure. We observe that the previously proposed entropy-based uncertainty measure generalizes to the clinical dataset on the binary classification scheme.

Citations

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IJARIIE K Purushotham, R RADHA, R YESWANTH, P Vishnu Vardhan Reddy , P ANIL KUMAR, and T SAINATH REDDY. "Interactive Joint Feature Extraction for Diabetic Retinopathy Classification using Multiple Instance Neural Symbolic Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 3 2025 Page 543-547
MLA K Purushotham, R RADHA, R YESWANTH, P Vishnu Vardhan Reddy , P ANIL KUMAR, and T SAINATH REDDY. "Interactive Joint Feature Extraction for Diabetic Retinopathy Classification using Multiple Instance Neural Symbolic Learning." International Journal Of Advance Research And Innovative Ideas In Education 11.3(2025) : 543-547.
APA K Purushotham, R RADHA, R YESWANTH, P Vishnu Vardhan Reddy , P ANIL KUMAR, & T SAINATH REDDY. (2025). Interactive Joint Feature Extraction for Diabetic Retinopathy Classification using Multiple Instance Neural Symbolic Learning. International Journal Of Advance Research And Innovative Ideas In Education, 11(3), 543-547.
Chicago K Purushotham, R RADHA, R YESWANTH, P Vishnu Vardhan Reddy , P ANIL KUMAR, and T SAINATH REDDY. "Interactive Joint Feature Extraction for Diabetic Retinopathy Classification using Multiple Instance Neural Symbolic Learning." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 3 (2025) : 543-547.
Oxford K Purushotham, R RADHA, R YESWANTH, P Vishnu Vardhan Reddy , P ANIL KUMAR, and T SAINATH REDDY. 'Interactive Joint Feature Extraction for Diabetic Retinopathy Classification using Multiple Instance Neural Symbolic Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, 2025, p. 543-547. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Interactive_Joint_Feature_Extraction_for_Diabetic_Retinopathy_Classification_using_Multiple_Instance_Neural_Symbolic_Learning_ijariie26500.pdf (Accessed : ).
Harvard K Purushotham, R RADHA, R YESWANTH, P Vishnu Vardhan Reddy , P ANIL KUMAR, and T SAINATH REDDY. (2025) 'Interactive Joint Feature Extraction for Diabetic Retinopathy Classification using Multiple Instance Neural Symbolic Learning', International Journal Of Advance Research And Innovative Ideas In Education, 11(3), pp. 543-547IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Interactive_Joint_Feature_Extraction_for_Diabetic_Retinopathy_Classification_using_Multiple_Instance_Neural_Symbolic_Learning_ijariie26500.pdf (Accessed : )
IEEE K Purushotham, R RADHA, R YESWANTH, P Vishnu Vardhan Reddy , P ANIL KUMAR, and T SAINATH REDDY, "Interactive Joint Feature Extraction for Diabetic Retinopathy Classification using Multiple Instance Neural Symbolic Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, pp. 543-547, May-Jun 2025. [Online]. Available: http://ijariie.com/AdminUploadPdf/Interactive_Joint_Feature_Extraction_for_Diabetic_Retinopathy_Classification_using_Multiple_Instance_Neural_Symbolic_Learning_ijariie26500.pdf [Accessed : ].
Turabian K Purushotham, R RADHA, R YESWANTH, P Vishnu Vardhan Reddy , P ANIL KUMAR, and T SAINATH REDDY. "Interactive Joint Feature Extraction for Diabetic Retinopathy Classification using Multiple Instance Neural Symbolic Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 3 ().
Vancouver K Purushotham, R RADHA, R YESWANTH, P Vishnu Vardhan Reddy , P ANIL KUMAR, and T SAINATH REDDY. Interactive Joint Feature Extraction for Diabetic Retinopathy Classification using Multiple Instance Neural Symbolic Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(3) : 543-547. Available from: http://ijariie.com/AdminUploadPdf/Interactive_Joint_Feature_Extraction_for_Diabetic_Retinopathy_Classification_using_Multiple_Instance_Neural_Symbolic_Learning_ijariie26500.pdf
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