An AI algorithm converts 2D electron microscope images into accurate 3D structures, cutting analysis time and cost to one-eighth while preserving precision. The newly developed algorithm requires ...

A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...

As shown below, the inferred masks predicted by our segmentation model trained on the PNG dataset appear similar to the ground truth masks, but lack precision in some areas. To improve segmentation ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...

Abstract: This paper proposes a K-means clustering based image segmentation algorithm which select the centroids automatically. It eliminates the limitations associated with K-means clustering such as ...

Abstract: Image segmentation plays a major role in computer vision. It is a fundamental task for feature extraction and pattern matching applications. This paper proposes a simple hybrid Image ...