Baza Publikacji Pracowników Politechniki Lubelskiej

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

Application of selected classification methods for detection of Hashimoto’s thyroiditis on the basis of ultrasound images