whq-xxh/FFA-Synthesis
FFA Synthesis from CFP （ACM MM 2024 Workshop Best Paper Award）
This project offers a unique dataset and methods for synthesizing Fluorescein Angiography (FFA) images from Color Fundus Photography (CFP) images, which are less invasive. This can help medical researchers and ophthalmologists study retinal diseases by providing a less invasive way to obtain detailed vascular information. The input is a standard CFP image, and the output is a synthesized FFA image, useful for diagnosis and analysis.
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Use this if you are a medical researcher or ophthalmologist looking to generate detailed retinal vascular images (FFA) from more common and less invasive Color Fundus Photography (CFP) for research or diagnostic purposes.
Not ideal if you require real-time clinical diagnostic tools or are seeking a commercial solution for medical imaging, as this project is currently focused on academic research.
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Dec 13, 2024
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