Smartphone app classified eyelid photos as benign, malignant, or normal with high accuracy.
Deep learning-based mobile application for efficient eyelid tumor recognition in clinical images.
Shiqi Hui … Dongmei Li
NPJ digital medicine · 2025
Background
Early detection, regular monitoring of eyelid tumors and post-surgery recurrence monitoring are crucial for patients.
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Results
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app correctly identified the eyelid condition in about 92% of cases
n = 1195 preprocessed clinical ocular
More results
However, frequent hospital visits are burdensome for patients with poor medical conditions.
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Conclusion
Intelligent Eyelid Tumor Screening application exhibited a straightforward detection process, user-friendly interface and treatment recommendation scheme, provides preliminary evidence for recognizing eyelid tumors and could be used by healthcare professionals, patients and caregivers for detection and monitoring purposes.