Transformer-Based DME Classification Using Retinal OCT Images Without Data Augmentation: An Evaluation of ViT-B16 and ViT-B32 With Optimizer Impact

Diabetic macular edema (DME) continues to be the most prevalent manifestation of impaired vision in people suffering from diabetes. To assess DME in individuals, ophthalmologists routinely adopt optical coherence tomography (OCT), a retinal imaging modality. With the clinical assessment of DME, comp...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	K. C. Pavithra, Preetham Kumar, M. Geetha, Sulatha V. Bhandary, K. B. Ajitha Shenoy, Guruprasad Rao, Steven Fernandes, Akshat Tulsani
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2025-01-01
Sarja:	IEEE Access
Aiheet:	Diabetic macular edema vision transformers optical coherence tomography deep learning optimizers
Linkit:	https://ieeexplore.ieee.org/document/11202415/
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!