In his research, Professor Marko Huhtanen from the University of Oulu, who specializes in applied and computational ...

The digital content landscape has reached an inflection point where traditional image editing methods can no longer keep pace with modern demands. Professional creators, marketers, and businesses ...

Abstract: Deep learning based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of ...

Medical image segmentation is at the heart of modern healthcare AI, enabling crucial tasks such as disease detection, progression monitoring, and personalized treatment planning. In disciplines like ...

WILMINGTON, Del.--(BUSINESS WIRE)--Bizdata, a leading AI driven data integration platform today announced the launch of AI Document Understanding within its flagship eZintegrations™ platform, setting ...

Add a description, image, and links to the discrete-time-fourier-transform topic page so that developers can more easily learn about it.

1 School of Computer Science and Technology, Changsha University of Science and Technology, Changsha, China 2 School of Information Engineering, Changsha Medical University, Changsha, China With the ...

ABSTRACT: Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...