Submission Title
Automatic Classification of Histological Images and Histological Knowledge Modelling of the Human Cardiovascular System
Abstract
This art was created as part of a PhD thesis were proposes firstly, a method to recognise automatically fundamental tissues of the human cardiovascular system using image processing techniques with morphological information. Secondly, a method to classify automatically fundamental tissues and organs using machine learning algorithms based on texture features. Thirdly, a histological ontology to model histological and expert knowledge. Fourthly, two methods to improve the previous classification using the information provided by the histological ontology.
In this proposal, we mixed histology images of the human cardiovascular system and human histological knowledge in a way that a computer can process and understand both of them.
Authors
- Claudia Mazo (Dublin City University)