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 ...
News-Medical.Net

New "plug-and-play" AI outperforms pathologists in lymph node metastasis detection

A research team led by The Hong Kong University of Science and Technology (HKUST) has developed a pioneering artificial ...

How the Gemma 4 Vision Agent’s “Agentic Loop” Solves Complex Visual Reasoning

Explore the new agentic loop pipeline using Gemma 4 and Falcon Perception for highly accurate, locally hosted image ...
GitHub

TFM Dataset & Benchmark: Automated Tear Film Break-Up Analysis

Classification (TF-Cls) 'Clear', 'Closed', 'Broken', 'Blur' 6,247 3632 × 2760 4,687:561:999(75%:9%:16%) Object Detection (TF-Det) Inside, Middle, Outside Rings 4,736 ...
IEEE

A pseudo-multi-task neural network classification model for cropland mapping in mountainous areas using high-resolution remote sensing images

Abstract: This paper presents a Pseudo-Multi-Task Segmentation Neural Network (PMTNet) for cropland mapping in mountainous regions using high-resolution remote sensing images. PMTNet extends BsiNet by ...
Scientific Research Publishing

Peng, J., Li, W., Liao, S. and Zhu, Y. (2024) Microcrack Segmentation of 3D CT Images Based on Multi-Task Learning. IEEE Access, 12, 138192-138200.

ABSTRACT: Aiming at the problems of intensity inhomogeneity, boundary blurring and noise interference in the segmentation of three-dimensional volume data (such as medical images and industrial CT ...