Advertisers aim to tailor ads to individual viewers to drive clicks, and while bespoke creatives for each person are currently impractical, new research suggests AI-generated imagery could soon be ...

Visual example of our conformal margin: we build a morphological margin (via dilation) that covers all missed pixels (false negatives). Dataset: WBC In the following image, we have a ground truth mask ...

Abstract: Customer segmentation is important for marketing and business strategy. This study explores the effectiveness of two widely used clustering algorithms, K-Means and Agglomerative Clustering, ...

Abstract: This paper extends the use of graph neural networks (GNN) to improve semantic segmentation with limited input data. After segmenting structures using a convolutional neural network (CNN), we ...

This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

Threshold-based segmentation by selecting a target color vector in one of six color spaces (RGB, HSV, CIELAB, CIEXYZ, YCbCr or YIQ (NTSC)) and isolating pixels within a user-specified tolerance.

1 Henan Agricultural Information Data Intelligent Engineering Research Center, SIAS University, Zhengzhou, China 2 College of Computer, Xijing University, Xi’an, China Precise paddy pest image ...