IEEE

Evaluation of Three Algorithms for the Segmentation of Overlapping Cervical Cells

Abstract: In this paper, we introduce and evaluate the systems submitted to the first Overlapping Cervical Cytology Image Segmentation Challenge, held in conjunction with the IEEE International ...

Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
IEEE

Point Cloud Segmentation Algorithm Based on Improved Euclidean Clustering

Abstract: Point cloud segmentation is a crucial technique for object recognition and localization, widely employed in various applications such as point cloud registration, 3D reconstruction, object ...

Artificial Intelligence (AI): What It Is, How It Works, Types, and Uses

Artificial intelligence technology allows computers and machines to simulate human intelligence and problem-solving ...
SiliconANGLE

Meta’s new image segmentation models can identify objects and people and reconstruct them in 3D

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
Frontiers

A deep learning-based cascade algorithm for pancreatic tumor segmentation

Pancreatic tumors are small in size, diverse in shape, and have low contrast and high texture similarity with surrounding tissue. As a result, the segmentation model is easily confused by complex and ...
Investopedia

Understanding Demographics: Effective Data Collection and Analysis

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...