An adaptive threshold based algorithm for optic disc and cup segmentation in fundus images
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Apr 25, 2019 - Jupyter Notebook
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An adaptive threshold based algorithm for optic disc and cup segmentation in fundus images
Implementation of famous Optic disc and cup segmentation research papers in python.
🩺 Enhance glaucoma detection with GF-Care, a deep learning tool for automatic optic disc and cup segmentation from fundus images for accurate CDR calculation.
GF-Care (Glaucoma Fundus – Cup-to-disc ratio Assessment for Retinal Evaluation) A deep learning-based system for automatic segmentation of the optic disc and cup from fundus images, enabling cup-to-disc ratio (CDR) calculation to support early glaucoma detection.
Glaucoma Detection using Deep Learning | A ResNet50-based deep learning model for automated glaucoma diagnosis from fundus images.
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