177 citations · 198 across the 5 of their papers we have counts for
5 papers
TransUKAN:Computing-Efficient Hybrid KAN-Transformer for Enhanced Medical Image Segmentation
Yanlin Wu, Tao Li, Zhihong Wang +2
U-Net is currently the most widely used architecture for medical image segmentation. Benefiting from its unique encoder-decoder architecture and skip connections, it can effectivel…
Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation
Along He, Kai Wang, Tao Li +3
Effectively integrating multi-scale information is of considerable significance for the challenging multi-class segmentation of fundus lesions because different lesions vary signif…
A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multi-disease Detection
Ning Li, Tao Li, Chunyu Hu +2
In ophthalmology, early fundus screening is an economic and effective way to prevent blindness caused by ophthalmic diseases. Clinically, due to the lack of medical resources, manu…
Applications of Deep Learning in Fundus Images: A Review
Tao Li, Wang Bo, Chunyu Hu +4
The use of fundus images for the early screening of eye diseases is of great clinical importance. Due to its powerful performance, deep learning is becoming more and more popular i…
BTS-DSN: Deeply Supervised Neural Network with Short Connections for Retinal Vessel Segmentation
Song Guo, Kai Wang, Hong Kang +3
Background and Objective: The condition of vessel of the human eye is an important factor for the diagnosis of ophthalmological diseases. Vessel segmentation in fundus images is a…