Vulvovaginal candidiasis (VVC) is the most prevalent human candidal
infe...
Accurate automatic segmentation of medical images typically requires lar...
Automatic examination of thin-prep cytologic test (TCT) slides can assis...
Background: MR-based subchondral bone effectively predicts knee
osteoart...
Recent self-supervised contrastive learning methods greatly benefit from...
Mammographic image analysis is a fundamental problem in the computer-aid...
Magnetic resonance (MR) images collected in 2D scanning protocols typica...
Medical image segmentation methods are generally designed as fully-super...
Graph matching can be formalized as a combinatorial optimization problem...
Brain network analysis for traumatic brain injury (TBI) patients is crit...
Magnetic resonance (MR) images are often acquired in 2D settings for rea...
Knee osteoarthritis (OA) is the most common osteoarthritis and a leading...
In clinical practice, magnetic resonance imaging (MRI) with multiple
con...
Knee osteoarthritis (OA) is one of the most common musculoskeletal disor...
Brain magnetic resonance (MR) segmentation for hydrocephalus patients is...
Medical image segmentation is challenging especially in dealing with sma...
Semantic segmentation is essentially important to biomedical image analy...
Gliomas are the most common primary brain malignancies, with different
d...