Fundus photography is prone to suffer from image quality degradation tha...
The annotation scarcity of medical image segmentation poses challenges i...
Rare diseases (RDs) are collectively common and affect 300 million peopl...
Deep neural networks (DNNs) have been widely applied in medical image
cl...
Segmentation is vital for ophthalmology image analysis. But its various ...
In this study, we investigated the potential of ChatGPT, a large languag...
Spatial attention mechanism has been widely incorporated into deep
convo...
Passive millimeter-wave (PMMW) is a significant potential technique for ...
Hard exudates (HE) is the most specific biomarker for retina edema. Prec...
As an economical and efficient fundus imaging modality, retinal fundus i...
Vascular segmentation extracts blood vessels from images and serves as t...
Fundus photography is a routine examination in clinics to diagnose and
m...
Cataracts are the leading cause of vision loss worldwide. Restoration
al...
Optical Coherence Tomography Angiography (OCTA) has been increasingly us...
Cataract is one of the leading causes of reversible visual impairment an...
Deep hashing methods have been proved to be effective for the large-scal...
Latent Factor Model (LFM) is one of the most successful methods for
Coll...
Precise characterization and analysis of iris shape from Anterior Segmen...
Gliomas are the most common primary brain malignancies, with different
d...
In this paper, we propose a Hybrid Ant Colony Optimization algorithm (HA...
The weighted Maximum Satisfiability problem (weighted MAX-SAT) is a NP-h...