Abstract: Large-scale, big-variant, high-quality data are crucial for developing robust and successful deep-learning models for medical applications since they potentially enable better generalization ...

Abstract: Deep learning models for medical image segmentation often struggle with task-specific characteristics, limiting their generalization to unseen tasks with new anatomies, labels, or modalities ...

When it comes to market segmentation, I don’t see truly well-documented cases often. At a more simplistic level, we think of classic matrices such as BCG or McKinsey’s. But the real exercise of ...

This repository contains the code implementation for the paper RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the MMSegmentation project. The current ...

The company will allow users of its Gemini chatbot to create images of people with artificial intelligence after disabling the feature six months ago. By Nico Grant Reporting from San Francisco In ...

Install Anaconda or Miniconda: If you don't have Anaconda or Miniconda installed, download and install it from their official website. Install the SegmentR R Package: Install the package using the ...

Targeted marketing and personalization have evolved dramatically in the last decade. Engaging an audience overwhelmed by the internet’s content farm requires meeting fans where they are, speaking ...

Reality is sometimes stranger than fiction. That’s what a photographer and writer who goes by the name Miles Astray wanted to make clear with his submission to the 1839 Awards, a new photography ...