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Hybrid Convolutional Transformer Learning Utilizing Ordinal Sensitive Loss for Automated Grading of Diabetic Retinopathy

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Bibliographic Details
Published in:VFAST Transactions on Software Engineering
Format: Online Article RSS Article
Published: 2026
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container_title VFAST Transactions on Software Engineering
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:12514
institution FRELIP
journal_source_facet VFAST Transactions on Software Engineering
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Hybrid Convolutional Transformer Learning Utilizing Ordinal Sensitive Loss for Automated Grading of Diabetic Retinopathy
Software
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Software
Technology & Engineering — Computing
Technology & Engineering
Software
Technology & Engineering — Computing
Technology & Engineering
subject_facet Software
Technology & Engineering — Computing
Technology & Engineering
title Hybrid Convolutional Transformer Learning Utilizing Ordinal Sensitive Loss for Automated Grading of Diabetic Retinopathy
title_auth Hybrid Convolutional Transformer Learning Utilizing Ordinal Sensitive Loss for Automated Grading of Diabetic Retinopathy
title_full Hybrid Convolutional Transformer Learning Utilizing Ordinal Sensitive Loss for Automated Grading of Diabetic Retinopathy
title_fullStr Hybrid Convolutional Transformer Learning Utilizing Ordinal Sensitive Loss for Automated Grading of Diabetic Retinopathy
title_full_unstemmed Hybrid Convolutional Transformer Learning Utilizing Ordinal Sensitive Loss for Automated Grading of Diabetic Retinopathy
title_short Hybrid Convolutional Transformer Learning Utilizing Ordinal Sensitive Loss for Automated Grading of Diabetic Retinopathy
title_sort hybrid convolutional transformer learning utilizing ordinal sensitive loss for automated grading of diabetic retinopathy
topic Software
Technology & Engineering — Computing
Technology & Engineering
url https://vfast.org/journals/index.php/VTSE/article/view/2344