In computation pathology, the pyramid structure of gigapixel Whole Slide...
Whole slide image (WSI) analysis has become increasingly important in th...
Empirical risk minimization (ERM) is a fundamental machine learning para...
Breast cancer is a major cause of cancer death among women, emphasising ...
Optimizing and maintaining up-to-date API documentation is a challenging...
OpenAPI indicates a behavior where producers offer Application Programmi...
Generating and maintaining API documentation with integrity and consiste...
Alzheimer's disease prognosis is critical for early Mild Cognitive Impai...
Current point cloud segmentation architectures suffer from limited long-...
Whole slide image (WSI) has been widely used to assist automated diagnos...
Traffic flow analysis is revolutionising traffic management. Qualifying
...
Regular expressions (regexes) are widely used in different fields of com...
Learning medical visual representations directly from paired radiology
r...
Surgical action triplet recognition provides a better understanding of t...
Modern deep neural networks struggle to transfer knowledge and generaliz...
Annotation scarcity is a long-standing problem in medical image analysis...
The whole slide histopathology images (WSIs) play a critical role in gas...
Deep convolutional neural networks have significantly boosted the perfor...
The success of deep convolutional neural networks is partially attribute...
The generalization capability of neural networks across domains is cruci...
Medical image annotations are prohibitively time-consuming and expensive...
Standard plane localization is crucial for ultrasound (US) diagnosis. In...
Training deep convolutional neural networks usually requires a large amo...
Accurate segmentation of the optic disc (OD) and cup (OC)in fundus image...
Glaucoma is a leading cause of irreversible blindness. Accurate segmenta...