Gliomas, primary brain tumors arising from glial cells, can be effectively identified using Magnetic Resonance Imaging (MRI), a widely employed diagnostic tool in clinical settings. Accurate glioma segmentation, which is crucial for diagnosis and surgical intervention, achieved by integrating multiple MRI modalities that offer complementary information. However, limited access to certain contex...

Recent advances on prompt-tuning cast few-shot classification tasks as a masked language modeling problem. By wrapping input into template and using verbalizer which constructs mapping between label space word space, can achieve excellent results in scenarios. However, typical needs manually designed requires domain expertise human efforts. And the insufficient may introduce considerable bias r...

The paper analyzes the problem of extracting knowledge from clinical recommendations presented in form semi-structured corpora text documents natural language, taking into account their periodic updating. considered methods intellectual analysis accumulated arrays medical data make it possible to automate a number tasks aimed at improving quality care due significant decision support treatment ...