dc.contributor.author |
Martín Isla, Carlos |
dc.date.accessioned |
2018-11-05T12:43:53Z |
dc.date.available |
2018-11-05T12:43:53Z |
dc.date.issued |
2018-09 |
dc.identifier.uri |
http://hdl.handle.net/10230/35697 |
dc.description |
Treball fi de màster de: Master in Intelligent Interactive Systems |
dc.description |
Tutor: Karim Lekadir |
dc.description.abstract |
With the increasing number of data routinely acquired in clinical practice, a great variety
of predictive models for automated medical diagnosis based on quantitative feature
extraction are being implemented.
Domain analysts should be able to interact and explore through different views to make
further discovery of, and insights into, the quantitative data. They can obtain a better
understanding of the data and their structures and contribute their domain expertise to the
knowledge discovery process.
For this research, we will take advantage of the use of radiomics for the acquisition of
large amounts of relevant data from cardiac images that typically fail to be appreciated by
the naked eye. The combination with Disease State Index, a predictive model that involves
not only a diagnosis but a sense of progression in the disease, leads to a 3D space where
the patients are explored and compared, as well as their individual features.
This configuration will result in a clinical tool that allows the user to explore
radiomics features in a serie of interactive panels and take supervised decisions, but also is
useful for automatic diagnosis and patient stratification. Last but not least, it draws
conclusions about the relevance of different radiomics classes, segmentations, and cardiac
phases for automatic heart disease classification. |
dc.format.mimetype |
application/pdf |
dc.language.iso |
eng |
dc.rights |
Atribución-NoComercial-SinDerivadas 3.0 España |
dc.rights.uri |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject.other |
Malalties -- Diagnòstic |
dc.title |
Combining radiomics and disease state index for interactive patient space visualization |
dc.type |
info:eu-repo/semantics/masterThesis |
dc.rights.accessRights |
info:eu-repo/semantics/openAccess |