Discriminable and Stable Feature Selection for Computer-aided Diagnosis from Sonographic Images - PhD Thesis Proposal
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A00109899" target="_blank" >RIV/68407700:21230/05:00109899 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Discriminable and Stable Feature Selection for Computer-aided Diagnosis from Sonographic Images - PhD Thesis Proposal
Original language description
This paper summarises state-of-the-art in feature selection and classification for medical purposes. The main focus is put on sonographic imaging, especially images of the thyroid gland. State-of-the-art covers related works dealing with feature selection and classification (i) in general, (ii) for medical purposes, and (iii) for thyroid gland diseases. It also summarizes works that deal with the task of different scanners and digitizer setting, which may lead to different classification results. The second part of this paper describes our methods and experiences with feature selection and classification applied on sonographic images of thyroid gland. It deals with generating features from sonographic textural images and reproducibility under differentsonograph settings. The last part involves tentative plan for future work to conclude PhD thesis.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů