Precision Diagnosis of Glaucoma with VLLM Ensemble Deep Learning
Soohyun Wang,
Byoungkug Kim,
Jiheon Kang
et al.
Abstract:This paper focuses on improving automated approaches to glaucoma diagnosis, a severe disease that leads to gradually narrowing vision and potentially blindness due to optic nerve damage occurring without the patient’s awareness. Early diagnosis is crucial. By utilizing advanced deep learning technologies and robust image processing capabilities, this study employed four types of input data (retina fundus image, region of interest (ROI), vascular region of interest (VROI), and color palette images) to reflect s… Show more
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