The segmentation of kidney layer structures, including cortex, outer str...
Crohn's disease (CD) is a chronic and relapsing inflammatory condition t...
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...
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...
The Distributed Messaging Systems (DMSs) used in IoT systems require tim...
Vision transformers (ViTs) have quickly superseded convolutional network...
With the rapid development of self-supervised learning (e.g., contrastiv...
Multi-instance learning (MIL) is widely used in the computer-aided
inter...
Non-contrast computed tomography (NCCT) is commonly acquired for lung ca...
Efficiently quantifying renal structures can provide distinct spatial co...
Multiplex immunofluorescence (MxIF) is an emerging imaging technique tha...
Unsupervised learning algorithms (e.g., self-supervised learning,
auto-e...
Contrastive learning has shown superior performance in embedding global ...
The construction of three-dimensional multi-modal tissue maps provides a...
Performing coarse-to-fine abdominal multi-organ segmentation facilitates...
A major goal of lung cancer screening is to identify individuals with
pa...
Weakly supervised learning has been rapidly advanced in biomedical image...
Tissue window filtering has been widely used in deep learning for comput...
The field of lung nodule detection and cancer prediction has been rapidl...
With the proliferation of machine learning (ML) libraries and frameworks...
Detailed whole brain segmentation is an essential quantitative technique...
Early detection of lung cancer is essential in reducing mortality. Recen...
Brain imaging analysis on clinically acquired computed tomography (CT) i...
Coronary artery calcium (CAC) is biomarker of advanced subclinical coron...
The findings of splenomegaly, abnormal enlargement of the spleen, is a
n...
A key limitation of deep convolutional neural networks (DCNN) based imag...
Whole brain segmentation on a structural magnetic resonance imaging (MRI...
When processing large medical imaging studies, adopting high performance...
A lack of generalizability is one key limitation of deep learning based
...
Whole brain segmentation and cortical surface parcellation are essential...
Spleen volume estimation using automated image segmentation technique ma...