Application of selected classification methods for detection of Hashimoto’s thyroiditis on the basis of ultrasound images
Fragment książki (Rozdział w monografii)
| Status: | |
| Autorzy: | Omiotek Zbigniew, Burda Andrzej, Wójcik Waldemar |
| Wersja dokumentu: | Drukowana |
| Arkusze wydawnicze: | 1,4 |
| Język: | angielski |
| Strony: | 23 - 37 |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| The article presents methods for classification of ultrasound thyroid images. These methods allow us to classify analyzed cases as sick or healthy. They allow us to separate a fairly large group of incorrectly classified cases as well. According to the authors, this group may contain features of the early stage of Hashimoto’s disease. Decision tree induction and artificial neural networks have been used to build classification models. Test results showed that the proposed methods can provide a starting point to build a support system in the process of medical diagnosis |
