This important work advances our understanding of the single neuron coding types in the mouse gustatory cortex and the functional roles of these neurons for perceptual decision-making. The conclusions ...

Abstract: Medical image segmentation is widely used in clinical diagnosis, and methods based on convolutional neural networks have been able to achieve high accuracy. However, it is still difficult to ...

Retrieval-augmented generation (RAG) has emerged as a pivotal framework in AI, significantly enhancing the accuracy and relevance of responses generated by large language models (LLMs) leveraging ...

Abstract: Focal stack images (FoSIs) are a set of 2D images that captured one scene with serial focal depths. The redundancies of FoSIs mainly come from gradual focused depths changes rather than ...

Medical image repositories have been rapidly growing due to the widespread use of imaging techniques, making manual annotation unfeasible. Efficient image retrieval systems are crucial for diagnosing ...

Secure coding refers to the practice of writing source code for software applications in a manner that actively prevents the introduction of security vulnerabilities. It is a proactive approach ...

The Europe Medical Coding Market is experiencing significant growth, driven by advancements in technology, increasing demand for healthcare services, and the growing need for standardized medical ...

We created an annotated corpus of tumor morphology and topography mentions consisting of 1,101 documents. We combined it with the CANTEMIST corpus (Cancer Text Mining Shared Task). Specifically, we ...

Code the following: Patient born alive in the hospital at 36 wks and 1/7 days, as a singleton via cesarean section, from a mother who had maternal IUGR during her prenatal course. Maternal record ...

Forbes contributors publish independent expert analyses and insights. AI leader & Cornell faculty; serial entrepreneur; ex-Google/LinkedIn Multimodality is set to redefine how enterprises leverage AI ...