FunSyn-Net: Enhanced Residual Variational Auto-encoder and Image-to-Image Translation Network for Fundus Image Synthesis
收藏ICPSR2019-01-01 更新2026-04-16 收录
下载链接：
https://www.openicpsr.org/openicpsr/project/117290/version/V1/view
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资源简介：
This is a completely artificially generated dataset of fundus images with their corresponding blood vessel annotations. <br>Please use the following citation if you use the database "S. Sengupta, A. Athwale, T. Gulati, J. Zelek, V. Lakshminarayanan, FunSyn-Net: Enhanced Residual Variational Auto-encoder and Image-to-Image Translation Network for Fundus Image Synthesis, SPIE Medical Imaging, Houston, US, 2020( To be appeared)<br>
提供机构：
University of Waterloo
创建时间：
2019-01-01
