AI-driven saliency-guided retinal vessel segmentation framework for sustainable digital pathology
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By
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Rajib Guha Thakurta
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Mohammed E. Seno
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Masood Ur Rehman
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Sami Ahmed Haider
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Marwah A. Halwani
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Supriya Ashok Bhosale
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Mukesh Soni
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April 30, 2026
Clinical Scorecard: AI-based Framework for Retinal Vessel Segmentation Utilizing Saliency Guidance in Sustainable Digital Pathology
At a Glance
| Category | Detail |
|---|
| Condition | Retinal vessel segmentation for early diagnosis of ophthalmic and systemic diseases |
| Key Mechanisms | AI-driven saliency-guided boundary refinement, multi-scale feature extraction, attention-based enhancement |
| Target Population | Patients with diabetes, hypertension, and cardiovascular disorders |
| Care Setting | Digital pathology and automated retinal analysis |
Key Highlights
Guideline-Based Recommendations
Diagnosis
Management
Monitoring & Follow-up
Risks
Patient & Prescribing Data
Individuals at risk for systemic diseases indicated by retinal vessel changes.
AI segmentation tools can enhance early detection and monitoring of disease progression.
Clinical Best Practices
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