S06 - BIOMEDICAL AND INDUSTRIAL DATA UNDERSTANDING APPLICATIONS

Chairs

Dr. Rafael Verdú Monedero. Universidad Politécnica de Cartagena (Spain)

Dr. José Luis Sancho Gómez. Universidad Politécnica de Cartagena (Spain)

Abstract

Data understanding is a research area involving both feature extraction and object identification within signals (data, speech, images, video…) from a scene, and a posterior treatment of this information in order to establish relationships between these objects with a specific goal.

In biomedical and industrial scenarios, the main purpose of this discipline is, given a problem, to manage all aspects of prior knowledge, from study start-up and initiation through data collection, quality control, expert independent interpretation, to design and development of systems involving data processing capable of tackle with these tasks.

The aim of this session is to provide a forum to discuss about theoretical or application works based on bio-inspired systems and techniques, according to the following topics:

  • Health Technologies
  • Feature extraction and analysis
  • Image Segmentation
  • Biometrics
  • Motion detection and estimation
  • Image Registration and fusion
  • Bio-inspired AI & KE
  • Other domains: data mining, information retrieval