Abstract: In recent years, the semantic segmentation of multimodal remote-sensing images using convolutional methods has received significant attention. Owing to the localized nature of convolutional ...
Advances in artificial intelligence (AI) promise to reshape the landscape of scientific inquiry. Amidst all these, OpenAI’s latest tool, Deep Research, stands out for its potential to revolutionize ...
Abstract: Few-shot semantic segmentation (FSS) of 3D medical images requires finding a 2D slice from the labeled volume as support to ‘query’ slices of the unlabeled one. Accurately determining ...
Section 1. Purpose and Policy. Americans deserve access to the best medical treatments and research infrastructure in the world. In 2023, the Food and Drug Administration (FDA) completed a review of ...
AS-Lab/Marthi-et-al-2025-MedVisionLlama-Pre-Trained-LLM-Layers-to-Enhance-Medical-Image-Segmentation
This repository contains the official implementation of "MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation" by Gurucharan Marthi Krishna Kumar, ...
Background Sync Enabled: When installed with a coding agent, mgrep runs a background process that syncs your files to enable semantic search. This process starts automatically when you begin a session ...
A deepfake image of President Donald Trump that received millions of views on social media is the latest large-scale example of how generative artificial intelligence can be used to create falsehoods ...
Researchers found a chasm between the health reasons for which the public seeks out cannabis and what gold-standard science actually shows about its effectiveness. By Jan Hoffman To treat their pain, ...
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