Szczegóły publikacji
Opis bibliograficzny
Syntactic methods of shape feature description and its application in analysis of medical images / Marek R. OGIELA, Ryszard TADEUSIEWICZ // W: Visual data exploration and analysis VII (7) : 24–26 January 2000 San Jose, California / eds. Robert F. Erbadler [et al.]. — Washington : SPIE, 2000. — (Proceedings of SPIE / The International Society for Optical Engineering ; ISSN 0277-786X ; vol. 3960). — S. 326–333. — Bibliogr. s. 333, Abstr.
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 4711 |
|---|---|
| Data dodania do BaDAP | 2001-05-09 |
| Tekst źródłowy | URL |
| DOI | 10.1117/12.378909 |
| Rok publikacji | 2000 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Czasopismo/seria | Proceedings of SPIE / The International Society for Optical Engineering |
Abstract
The paper presents specialist algorithms of morphologic analysis of shapes of selected organs of abdominal cavity proposed in order to diagnose disease symptoms occurring in the main pancreatic ducts and upper segments of ureters, Analysis of the correct morphology of these structures has been conducted with the use of syntactic methods of pattern recognition. Its main objective is computer-aided support to early diagnosis of neoplastic lesions and pancreatitis based on images taken in the course of examination with the endoscopic retrograde cholangiopancreatography (ERCP) method and a diagnosis of morphological lesions in ureter based on kidney radiogram (urogram) analysis. In the analysis of ERCP images the main objective is to recognise morphological lesions in pancreas ducts characteristic for carcinoma and chronic pancreatitis. In the case of kidney radiogram analysis the aim is to diagnose local irregularity of ureter lumen. Diagnosing the above mentioned lesion has been conducted with the use of syntactic methods of pattern recognition, in particular the languages of shape features description and context-free attributed grammars. These methods allow to recognise and describe in a very efficient way the aforementioned lesions on images obtained as a result of initial image processing into diagrams of widths of the examined structures.
