BCR-UNet: Bi-directional ConvLSTM residual U-Net for retinal blood vessel segmentation

• 主要な著者: Yugen Yi (著者), Changlu Guo (著者), Yangtao Hu (著者), Wei Zhou (著者), Wenle Wang (著者)
• フォーマット: 図書
• 出版事項: Frontiers Media S.A., 2022-11-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

BackgroundHigh precision segmentation of retinal blood vessels from retinal images is a significant step for doctors to diagnose many diseases such as glaucoma and cardiovascular diseases. However, at the peripheral region of vessels, previous U-Net-based segmentation methods failed to significantly...