Szczegóły publikacji
Opis bibliograficzny
Image languages in intelligent radiological palm diagnostics / Marek R. OGIELA, Ryszard TADEUSIEWICZ, Lidia OGIELA // Pattern Recognition ; ISSN 0031-3203. — 2006 — vol. 39 iss. 11, s. 2157–2165. — Bibliogr. s. 2164, Abstr. — Publikacja dostępna online od: 2006-05-30
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 29121 |
|---|---|
| Data dodania do BaDAP | 2006-10-02 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.patcog.2006.03.014 |
| Rok publikacji | 2006 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Pattern Recognition |
Abstract
This paper presents a new technique of computer-aided analysis and recognition of pathological wrist bone lesions. This method uses artificial intelligence (At) techniques and mathematical linguistics allowing to evaluate automatically and analyse the structure of the said bones, based on palm radiological images. Possibilities of computer interpretation of selected images, based on the methodology of automatic medical image understanding, as introduced by the authors, were created owing to the introduction of an original relational description of individual palm (wrist) bones. This description has been built with the use of graph linguistic formalisms already applied in artificial intelligence. These were, however, developed and adjusted to the needs of automatic medical image understanding in earlier works of the authors, as specified in the bibliography section of this paper. The research described in this paper has demonstrated that the for needs of palm (wrist) bone diagnostics, specialist linguistic tools such as expansive graph grammars and EDT-label graphs are particularly well-suited. Defining a graph image language adjusted to the specific features of the scientific problem here-described allowed for a semantic description of correct palm bone structures (with consideration to idiosyncratic features). It also enabled interpretation of images showing some in-born lesions, such as additional bones; or acquired lesions such as their incorrect junctions resulting from injuries and synostoses. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
