Glaucoma is a leading cause of irreversible vision impairment globally, and cases are
continuously rising worldwide. Early detection is crucial, allowing timely intervention that can …

Artificial intelligence (AI) has shown excellent diagnostic performance in detecting various
complex problems related to many areas of healthcare including ophthalmology. AI …

Artificial Intelligence is a rapidly expanding field within computer science that encompasses
the emulation of human intelligence by machines. Machine learning and deep learning–two …

Purpose: Artificial intelligence (AI) has been shown as a diagnostic tool for glaucoma
detection through imaging modalities. However, these tools are yet to be deployed into …

Glaucoma poses a growing health challenge projected to escalate in the coming decades.
However, current automated diagnostic approaches on Glaucoma diagnosis solely rely on …

Automatic evaluation of the retinal fundus image is emerging as one of the most important
tools for early detection and treatment of progressive eye diseases like Glaucoma …

Among the eye diseases, glaucoma is considered the second leading disease all around
the world that develops intraocular pressure and damages optic nerve head (ONH) within …

Deep learning driven computational methods have profoundly impacted medical imaging by
advancing feature extraction, and by establishing a critical foundation for downstream image …

Breast tumors are heterogeneous and respond differently to treatments, making an accurate
diagnosis and effective treatment challenging. This diversity can be attributed, in part, to …

Glaucoma is a leading cause of irreversible vision impairment globally, and cases are
continuously rising worldwide. Early detection is crucial, allowing timely intervention that can …