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, ...

DINOv3 represents a major leap in computer vision: its frozen universal backbone and SSL approach enable researchers and developers to tackle annotation-scarce tasks, deploy high-performance models ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

Abstract: Maritime scene understanding is an important task for a variety of industries, yet data collection and annotation for the field are relatively underrepresented and expensive. As a result, ...

Second, we fixed the methodological algorithm and varied only the MRI configurations. Convolutional Neural Networks (CNNs) have represented the state-of-the-art technology for brain tumor segmentation ...

tumor cases and BI-RADS annotations in categories 2, 3, 4, and 5. In addition, the dataset also contains ground truth delineations that divide the BUS images into ...

First, it’s important we take a step back and view computer vision from the broader hierarchy of AI. This structure starts with the foundation of AI at its base and works its way up through machine ...