Advanced Neural Diagnostics
Healthway leverages cutting-edge computer vision and deep learning to identify clinical markers in fundus photography.
Residual Networks (ResNet)
We utilize ResNet-18 architecture, featuring skip-connections that allow for deeper feature extraction without signal degradation. This enables precise identification of micro-hemorrhages and exudates.
Transfer Learning
By initializing our models with weights from the ImageNet dataset, we accelerate the convergence of the model on medical-specific features, ensuring higher accuracy even with specialized clinical data.
Our Analysis Pipeline
Normalisation
Auto-adjusting contrast and exposure across the fundus field.
Segmenting
Isolating the optic disc and vascular tree for isolated review.
Classification
Predicting disease severity based on detected clinical lesions.
Processing Visualizer v4.2