Accurate medical image segmentation is crucial for precise anatomical delineation. Deep learning models like U-Net have shown great success but depend heavily on large datasets and struggle with ...

About The Study: Evidence is insufficient for the use of cannabis or cannabinoids for most medical indications. Clear guidance from clinicians is essential to support safe, evidence-based ...

Tides have changed with the Gemini 3 update, bringing Nano Banana Pro image generation to a wider range of users. The images are so realistic that Google provides an extension that detects images with ...

With Superman’s release just around the corner, and a number of trailers and promotional images behind us, we have a decent idea of what to expect from the film and the many characters set to appear ...

Introduction: Accurate automated segmentation of epistaxis (nosebleeds) from endoscopic images is critical for clinical diagnosis but is significantly hampered by the scarcity of annotated data and ...

For startups and established businesses, understanding the importance of segmentation is essential for the granular analysis of consumer demographics, behaviors, needs, and preferences. These insights ...

California became the first state to ban most law enforcement officers, including federal immigration agents, from covering their faces while conducting official business under a bill that was signed ...

Have you ever imagined turning a simple text description into a stunning visual masterpiece? With the advent of Google Nano Banana AI, this once far-fetched idea is now a reality. Integrated into ...

Introduction: Due to the small size of citrus stems, their color similarity to the background, and their variable position relative to the fruit, accurately locating picking points using robots in ...

This is read by an automated voice. Please report any issues or inconsistencies here. The U.S. Forest Service is reversing its decades-long ban on federal firefighters wearing masks and providing N95s ...

To create the conda environment, do the following: conda create --name test-3.7 --file requirements.txt python=3.7 conda activate test-3.7 pip install large-image[all ...