21 citations · 45 across the 12 of their papers we have counts for
5 papers · 1 filter
WaveNet-SF: A Hybrid Network for Retinal Disease Detection Based on Wavelet Transform in Spatial-Frequency Domain
Jilan Cheng, Guoli Long, Zeyu Zhang +6
Retinal diseases are a leading cause of vision impairment and blindness, with timely diagnosis being critical for effective treatment. Optical Coherence Tomography (OCT) has become…
DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation
Bo Liu, Yudong Zhang, Shuihua Wang +2
Retinal vascular morphology is crucial for diagnosing diseases such as diabetes, glaucoma, and hypertension, making accurate segmentation of retinal vessels essential for early int…
TBDLNet: a network for classifying multidrug-resistant and drug-sensitive tuberculosis
Ziquan Zhu, Jing Tao, Shuihua Wang +2
This paper proposes applying a novel deep-learning model, TBDLNet, to recognize CT images to classify multidrug-resistant and drug-sensitive tuberculosis automatically. The pre-tra…
MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis
Lin Yang, Shuihua Wang, Yudong Zhang
Coronavirus disease 2019 (COVID-19) has spread all over the world for three years, but medical facilities in many areas still aren't adequate. There is a need for rapid COVID-19 di…
MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images
Shuihua Wang, Ahmed M. S. E. K Abdelaty, Kelly Parke +3
A "heart attack" or myocardial infarction (MI), occurs when an artery supplying blood to the heart is abruptly occluded. The "gold standard" method for imaging MI is Cardiovascular…