Karyotyping is of importance for detecting chromosomal aberrations in hu...
Cell recognition is a fundamental task in digital histopathology image
a...
As advances in large language models (LLMs) and multimodal techniques
co...
While Multiple Instance Learning (MIL) has shown promising results in di...
Point-based cell recognition, which aims to localize and classify cells
...
When designing a diagnostic model for a clinical application, it is cruc...
Cell classification and counting in immunohistochemical cytoplasm staini...
Agitation is one of the neuropsychiatric symptoms with high prevalence i...
Ki67 is a significant biomarker in the diagnosis and prognosis of cancer...
Character rigging is universally needed in computer graphics but notorio...
Behavioural symptoms and urinary tract infections (UTI) are among the mo...
The Urinary Tract Infections (UTIs) are one of the top reasons for unpla...
The proliferation of IoT sensors and edge devices makes it possible to u...
The robustness of neural networks is challenged by adversarial examples ...
Conventional deep learning models have limited capacity in learning mult...
Continual learning models allow to learn and adapt to new changes and ta...
Learning and adapting to new distributions or learning new tasks sequent...
Learning and adapting to new distributions or learning new tasks sequent...
Learning and adapting to new distributions or learning new tasks sequent...
Learning in a non-stationary environment is an inevitable problem when
a...