Well, they can. Models can be created that allow patients to self-segment in ways more accurate and relevant than ever before. The patient segmentation model discussed here divides the patient ...

Audience segmentation is the process of dividing viewers into groups based on shared characteristics, such as demographics, location, interests, and viewing behaviors. Video service providers use ...

Abstract: Unsupervised domain adaptation for remote sensing semantic segmentation (UDA-RSSeg) is to adapt a model trained on the source-domain data to the target-domain samples, thereby minimizing the ...

CAST, groups fine details into object-level concepts as attention moves from lower to high layers, outputting a ...

Custom YOLOv8 model for detecting and classifying car body damage—optimized for fast inference and assistive use in inspection and service workflows like BMW pre-loaner inspections.

When I first started working with integral field spectroscopic (IFU) data, I was struck by how much complexity was being ...

Women in HPC has named Sarah Johnston and Khyati Sethia as winners of the 2025 WHPC Travel Fellowships. They will present ...

Tata Motors announces ambitious EV lineup including Harrier.ev,Safari.ev,Sierra.ev,and Avinya,targeting multiple segments ...

Built on TSMC's third-generation 4nm process, the MediaTek Dimensity 9400e features an All Big Core CPU architecture, ...