North Penn Now

From Text/Image to 3D in Seconds: A Complete Guide to Tripo Studio

For 3D artists, designers, and creators across Nebraska and beyond, the path from a creative idea to a polished 3D asset has ...

Label-free optical imaging enables automated measurement of human white matter microstructure

White matter pathways allow distant parts of the brain to communicate, supporting memory, emotion, and language. One such ...
Hosted on MSN

AI toolkit transforms microscopy images into rich datasets

Researchers at the Hong Kong University of Science and Technology have developed GrainBot, an AI toolkit that converts complex microscopy images into detailed, multi-feature datasets. By automating ...

AI algorithm identifies cells across diverse biological images, cutting hours of manual labeling

Imaging is a critical technique in biology—from identifying cancerous cells in biopsies to observing how immune cells like ...

Winning Google Ads Campaign Structures For DTC Ecommerce

Common ecommerce Google Ads mistakes, from over-consolidation to poor segmentation, and how to fix them with a structure ...
EurekAlert!

Non-contact detection of post-regurgitation deep inhalation in calves using infrared thermography and deep learning-based nostril segmentation

An Osaka Metropolitan University research team proposed a non-contact approach for characterizing post-regurgitation deep ...
IEEE

TSNet: A Transformer-based Medical Image Segmentation Algorithm for Improving Channel Interaction

Abstract: Medical image segmentation is crucial for separating tissue structures and anatomical regions. However, due to significant variations in size, shape, and density of target tissues in medical ...
IEEE

A Reliable Segmentation Model for Limited Medical Image Datasets With Attention Mechanism and Kolmogorov–Arnold Networks

Abstract: The effectiveness and robustness of medical image segmentation algorithms inextricably depends on the quality and quantity of training data. Insufficient data continually restricts model ...