Pattern Recognition

Pattern Recognition - Artificial Intelligence

Pattern recognition stands for the automatic process of analysis of unique characteristics identifying subjects and its classification into categories. These unique features are called patterns.

Pattern recognition bases its detection on images. By using intelligent systems, physicians and researchers can systematize the processing of large volumes of information. Artificial intelligence has provided many solutions to medical questions. Pattern recognition is very useful in this field, and in the near future these techniques can be used to establish pre-diagnostics.

The application of pattern recognition has two main approaches: traditional and modern. In the traditional, the investigator determines, by statistical analysis, those features that distinguish a pattern of another. The modern approach is based on other principles, where the recognition differentiates forms and categories through a learning process.

In medicine there are many cases where it is important to recognize patterns. Using automated instruments allows a better capacity of diagnosis and treatment. In the field of dermatology this system is very successful thanks to its visual interpretation. At Swiss4ward we work with platforms that integrate pattern recognition functions to improve and make faster the medical processes of identification.