Portal de Cartagena
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The Polytechnic University of Cartagena (UPCT) has contributed to improving early diagnosis of arteriosclerosis with a doctoral thesis has developed automated techniques for measuring the thickness of the inner walls of the carotid artery.
Rosa María research Menchón Lara, directed by José Luis Sancho Gómez, focused on the application of tools 'Machine Learning' for segmenting ultrasound images.
"These automated techniques facilitate diagnosis of atherosclerosis in clinical practice and are essential to conduct studies with large numbers of images," says Sancho, director of the Research Group Theory and Signal Processing (GTTS) School of Telecommunications UPCT.
"Through machine learning, algorithms teach computers to recognize patterns as does the human mind," added Sancho.
The developed techniques eliminate the subjectivity of manual form with which so far these medical images are evaluated and have been validated with actual scans provided by the Department of Radiology of the University Hospital Virgen de la Arrixaca, with which collaborated on a project GTTS research and another thesis for early diagnosis of diseases.
Researchers at the Polytechnic in Theory and Signal Processing has developed processing techniques as diverse as data from medical, topographical or communications between cetaceans images.
"The techniques we use are applicable to the resolution of any problems on a classification," said the group leader.
Source: UPCT
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