Automatic label checking: The missing step in making medical AI reliable

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

TillerPET: An AI model for high-throughput phenotyping of rice tiller traits

In a new study published in The Crop Journal on November 7, researchers developed an AI model named TillerPET that enables ...
Scientific Research Publishing

S. Ouattara and A. Clement, “Labelling of Compact Mul- tidimensional Histograms for Analysis of Multicomponent Images,” Proceedings of the 21st Conference GRETSI on the ...

ABSTRACT: Image segmentation denotes a process for partitioning an image into distinct regions, it plays an important role in interpretation and decision making. A large variety of segmentation ...
IEEE

Image-Based Accelerated Prediction of Thermal Properties of Package Substrates Using Combined Deep-Learning and an Enhanced Thermal Network Model

Abstract: As the need for processing large amounts of data increases, power consumption and the complexity of semiconductor package patterns also rise, making thermal management crucial. Traditional ...
IEEE

Image Classification Model Based on Contrastive Learning With Dynamic Adaptive Loss

Abstract: As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural ...