The segmentation of kidney layer structures, including cortex, outer str...
Crohn's disease (CD) is a chronic and relapsing inflammatory condition t...
Cancer prognosis and survival outcome predictions are crucial for therap...
Eosinophilic esophagitis (EoE) is a chronic and relapsing disease
charac...
Eosinophilic Esophagitis (EoE) is a chronic, immune/antigen-mediated
eso...
Podocytes, specialized epithelial cells that envelop the glomerular
capi...
Precise identification of multiple cell classes in high-resolution Giga-...
When dealing with giga-pixel digital pathology in whole-slide imaging, a...
Segmentation of microvascular structures, such as arterioles, venules, a...
Many anomaly detection approaches, especially deep learning methods, hav...
The Segment Anything Model (SAM) is a recently proposed prompt-based
seg...
Diffusion-weighted magnetic resonance imaging (DW-MRI) is a critical ima...
Multi-class cell segmentation in high-resolution Giga-pixel whole slide
...
Deep-learning techniques have been used widely to alleviate the
labour-i...
Tissue examination and quantification in a 3D context on serial section ...
Deep learning has made great strides in medical imaging, enabled by hard...
The segment anything model (SAM) was released as a foundation model for ...
Analyzing high resolution whole slide images (WSIs) with regard to
infor...
Circle representation has recently been introduced as a medical imaging
...
With the rapid development of self-supervised learning (e.g., contrastiv...
Multi-instance learning (MIL) is widely used in the computer-aided
inter...
Comprehensive semantic segmentation on renal pathological images is
chal...
Computer-assisted quantitative analysis on Giga-pixel pathology images h...
Box representation has been extensively used for object detection in com...
Unsupervised learning algorithms (e.g., self-supervised learning,
auto-e...
Recent advances in bioimaging have provided scientists a superior high
s...
Contrastive learning is a key technique of modern self-supervised learni...
The classification of glomerular lesions is a routine and essential task...
Quantitative analysis of microscope videos often requires instance
segme...
Instance object segmentation and tracking provide comprehensive
quantifi...
Weakly supervised learning has been rapidly advanced in biomedical image...
Considerable morphological phenotyping studies in nephrology have emerge...
Automatic instance segmentation of glomeruli within kidney Whole Slide
I...
There has been a long pursuit for precise and reproducible glomerular
qu...
Object detection networks are powerful in computer vision, but not
neces...