Lesion classification and diabetic retinopathy grading by integrating softmax and pooling operators into vision transformer.
Journal:
Frontiers in public health
PMID:
39835306
Abstract
INTRODUCTION: Diabetic retinopathy grading plays a vital role in the diagnosis and treatment of patients. In practice, this task mainly relies on manual inspection using human visual system. However, the human visual system-based screening process is labor-intensive, time-consuming, and error-prone. Therefore, plenty of automated screening technique have been developed to address this task.