Handwritten document recognition and classification constitute a pivotal area in document analysis, interfacing computer vision, machine learning, and pattern recognition. This domain seeks to ...

Previously, our international team proposed a three-tiered pattern classification (Pattern Classification) system for endocervical adenocarcinoma of the usual type that correlates with nodal disease ...

CATALOG DESCRIPTION: Fundamental and advanced topics in statistical pattern recognition including Bayesian decision theory, Maximum-likelihood and Bayesian estimation, Nonparametric density estimation ...

IJAPR presents original research on the theoretical, experimental and applied aspects of pattern analysis, extraction, classification and clustering. The journal focuses on areas such as feature ...

Specific combinations of CT imaging features rather than individual findings alone may improve the accuracy of identifying radiologic patterns in interstitial lung disease (ILD), according to a new ...

Dr. Emilie Newell from Canada, Dr. Ludwig Krabbe from Germany, Marguerite Christophers from New Zealand, and Mette Berg from Norway have each received the 2023 IPC Classification Recognition Award.

Artificial intelligence (AI) has made remarkable strides in recent years, particularly in its ability to reason. At the heart of this evolution are new technologies like neural networks and large ...