Medical image segmentation is one of the most important tasks in modern healthcare. Every pixel in a scan tells a story, whether it marks a healthy cell, a cancerous growth, or a vital organ boundary.

AI Productivity Tools Market is projected to reach USD 115.85 Bn by 2034, rising from USD 9.89 Bn in 2024, expanding at a ...

We used machine learning (ML) to build prognostic models and developed the first predictive web-based tool for survival. The SEER database (2000-2020) was used for this study's analysis. To identify ...

Over the past decade, advancements in machine learning (ML) and deep learning (DL) have revolutionized segmentation accuracy.

Labor unions mobilize to challenge advance of algorithms in workplaces The AFL-CIO and other labor groups are working with state legislators across the nation to advance AI regulations designed to ...

Cops were called after Denise Richards unexpectedly showed up at her estranged husband Aaron Phypers' home despite having a restraining order against him.

This study explores the use of supervised learning and Q-learning to optimize dynamic preamble allocation in a single-cell 5G network, supporting SDG 9 (Industry, Innovation, and Infrastructure) by ...

On the second day of Mayo Clinic's AI Summit in Rochester, Dr. Matthew Callstrom shared where the health system stands with its use of generative artificial intelligence tools.

Bootstrapped to $1 Billion: Surge AI CEO Edwin Chen on How He Did It Surge AI has become a titan of data labeling. Its 37-year-old founder got it there with no VC money.