Abstract: Few-Shot Semantic Segmentation (FSS), which focuses on segmenting new classes in images using only a limited number of annotated examples, has recently progressed in data-scarce domains.
TCT 22: Comparative Outcomes and Predictors in Transcatheter Aortic Valve Implantation: A SEV vs BEV Analysis, data from the GREEK TAVI REGISTRY Receive the the latest news, research, and ...
When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is under scrutiny for instance, its different parts ...
CoLeM framework is a table model based on contrastive learning techniques for solving the problem of Column Type Annotation. RuTaBERT is a framework for solving column type and property annotation ...
ABSTRACT: Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving ...
A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...
Recent advances in speech enhancement (SE) have moved beyond traditional mask or signal prediction methods, turning instead to pre-trained audio models for richer, more transferable features. These ...
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