A Dual Attention-aided DenseNet-121 for Classification of Glaucoma from Fundus Images-Reference-Cited by-同舟云学术

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A Dual Attention-aided DenseNet-121 for Classification of Glaucoma from Fundus Images

Published:2024-06-11 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 13th Mediterranean Conference on Embedded Computing (MECO)
language:
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Author:

Chakraborty Soham¹,Roy Ayush²,Pramanik Payel¹,Valenkova Daria³,Sarkar Ram¹

Affiliation:

1. Jadavpur University,Dept. of Computer Sc. & Engg.,Kolkata,India,700032

2. Jadavpur University,Dept. of Electrical Engg.,Kolkata,India,700032

3. Saint Petersburg Electrotechnical University “LETI”,Dept. of Automation and Cont. Proc.,Saint Petersburg,Russia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10577658/10577767/10577902.pdf?arnumber=10577902

Reference29 articles.

1. Retinal Fundus Image Analysis for Diagnosis of Glaucoma: A Comprehensive Survey

2. Evaluation of a Computer-Aided Diagnosis System for Diabetic Retinopathy Screening on Public Data

3. Convolutional neural network transfer for automated glaucoma identification

4. A Deep Feature Selection Method for Tumor Classification in Breast Ultrasound Images

5. Deep feature selection using local search embedded social ski-driver optimization algorithm for breast cancer detection in mammograms

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