24 citations · 30 across the 7 of their papers we have counts for
4 papers · 1 filter
Localizing Anatomical Landmarks in Ocular Images using Zoom-In Attentive Networks
Xiaofeng Lei, Shaohua Li, Xinxing Xu +9
Localizing anatomical landmarks are important tasks in medical image analysis. However, the landmarks to be localized often lack prominent visual features. Their locations are elus…
REFUGE2 Challenge: A Treasure Trove for Multi-Dimension Analysis and Evaluation in Glaucoma Screening
Huihui Fang, Fei Li, Junde Wu +25
With the rapid development of artificial intelligence (AI) in medical image processing, deep learning in color fundus photography (CFP) analysis is also evolving. Although there ar…
Medical Image Segmentation Using Squeeze-and-Expansion Transformers
Shaohua Li, Xiuchao Sui, Xiangde Luo +3
Medical image segmentation is important for computer-aided diagnosis. Good segmentation demands the model to see the big picture and fine details simultaneously, i.e., to learn ima…
Learning to Reconstruct Crack Profiles for Eddy Current Nondestructive Testing
Shaohua Li, Ayesha Anees, Yu Zhong +4
Eddy current testing (ECT) is one of the most popular Nondestructive Testing (NDT) techniques, especially for conductive materials. Reconstructing the crack profile from measured E…