Detection and Characterization of Abnormal Vascular Patterns in Automated Cervical Image Analysis

Autor:	Wenjing Li, Allen Poirson
Rok vydání:	2006
Předmět:	Colposcopy medicine.diagnostic_test business.industry Color image Computer science Medical screening Image processing Pattern recognition Cervical cancer screening Cervical intraepithelial neoplasia medicine.disease Thresholding Digital image medicine Artificial intelligence business
Zdroj:	Advances in Visual Computing ISBN: 9783540486268 ISVC (2)
DOI:	10.1007/11919629_63
Popis:	In colposcopy, mosaic and punctation are two major abnormal vessels associated with cervical intraepithelial neoplasia (CIN). Detection and characterization of mosaic and punctation in digital cervical images is a crucial step towards developing a computer-aided diagnosis (CAD) system for cervical cancer screening and diagnosis. This paper presents automated techniques for detection and characterization of mosaic and punctation vessels in cervical images. The techniques are based on iterative morphological operations with various sizes of structural elements, in combination with adaptive thresholding. Information about color, region, and shape properties is used to refine the detection results. The techniques have been applied to clinical data with promising results.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8ea0f28171a94884f6909f812a4ce968 https://doi.org/10.1007/11919629_63 Zobrazit plný text záznamu