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Retinal-Fundus-Classification-using-XAI-and-Segmentation

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software/retinal-fundus-classification-using-xai-and-segmentation

This research enhances early disease diagnosis by analyzing retinal blood vessels in fundus images using deep learning. It employs eight pre-trained CNN models and Explainable AI techniques.

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
attention-u-net · cnn-models · deep-learning · densenet121 · explainable-ai · fundus-image-analysis · medical-image-segmentation · resnet101v2
Regulatory
unknown
built by · 4

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similar by tags

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sources
  1. api.github.com/repos/fatemafaria142/Retinal-Fundus-Classification-using-XAI-and-Segmentation
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-02-02, 13 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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/v1/entries/44.json→ .entries["retinal-fundus-classification-using-xai-and-segmentation"]

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