Dataset Groups Activity Stream SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation The proposed SA-UNet is evaluated on two publicly available retinal fundus image datasets: DRIVE and CHASE_DB1. BibTex: @dataset{Changlu_Guo_and_Márton_Szemenyei_and_Yugen_Yi_and_Wenle_Wang_and_Buer_Chen_and_Changqi_Fan_2024, abstract = {The proposed SA-UNet is evaluated on two publicly available retinal fundus image datasets: DRIVE and CHASE_DB1.}, author = {Changlu Guo and Márton Szemenyei and Yugen Yi and Wenle Wang and Buer Chen and Changqi Fan}, doi = {10.57702/t6ufx217}, institution = {No Organization}, keyword = {'deep learning', 'medical image analysis', 'retinal vessel segmentation'}, month = {dec}, publisher = {TIB}, title = {SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation}, url = {https://service.tib.eu/ldmservice/dataset/sa-unet--spatial-attention-u-net-for-retinal-vessel-segmentation}, year = {2024} }
