An advanced deep neural network for fundus image analysis and enhancing diabetic retinopathy detection-Reference-Cited by-同舟云学术

An advanced deep neural network for fundus image analysis and enhancing diabetic retinopathy detection

Published:2024-06 Issue: Volume:5 Page:100303
ISSN:2772-4425
Container-title:Healthcare Analytics
language:en
Short-container-title:Healthcare Analytics

Author:

Mehedi Shamrat F M Javed,Shakil Rashiduzzaman,Sharmin ,Hoque ovy Nazmul,Akter Bonna,Ahmed Md Zunayed,Ahmed Kawsar^ORCID,Bui Francis M.,Moni Mohammad Ali^ORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Reference55 articles.

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4. Cabnet: Category attention block for imbalanced diabetic retinopathy grading;He;IEEE Trans. Med. Imag.,2020

5. The adoption of deep learning interpretability techniques on diabetic retinopathy analysis: a review;Lim;Med. Biol. Eng. Comput.,2022

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3. Segmented Fractal and Central Symmetric LBP Based Texture Features for the Detection of Diabetic Retinopathy Using SVM;SN Computer Science;2024-06-13

4. Image analysis for diagnosis of Glaucoma using soft computing methods;2024 Tenth International Conference on Bio Signals, Images, and Instrumentation (ICBSII);2024-03-20