Ophthalmology | Precision Medicine NIMEQ-SACNet: A novel self-attention precision medicine model for vision-threatening diabetic retinopathy using image data. February 16, 2024
Ophthalmology Neighbored-attention U-net (NAU-net) for diabetic retinopathy image segmentation. December 22, 2023
Ophthalmology SegR-Net: A deep learning framework with multi-scale feature fusion for robust retinal vessel segmentation. June 21, 2023
Dermatology | Ophthalmology TC-Net: A joint learning framework based on CNN and vision transformer for multi-lesion medical images segmentation. May 23, 2023
Ophthalmology MIC-Net: multi-scale integrated context network for automatic retinal vessel segmentation in fundus image. May 10, 2023
Ophthalmology Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods. September 27, 2022
Ophthalmology A Fully Unsupervised Deep Learning Framework for Non-Rigid Fundus Image Registration. August 25, 2022
Ophthalmology Joint optic disc and cup segmentation based on densely connected depthwise separable convolution deep network. January 29, 2021
Ophthalmology Automatic Grading of Retinal Blood Vessel in Deep Retinal Image Diagnosis. September 1, 2020