Analysis of Inter-rater Reliability of the Mammography Assessment after Image Processing

Autor:	Burçin Kurt, Kemal Turhan, Aslı Yazağan, Sibel Kul
Rok vydání:	2015
Předmět:	Inter-rater reliability medicine.diagnostic_test business.industry Consistency (statistics) Medicine Mammography Computer vision Image processing Artificial intelligence business Reliability (statistics) Afterimage
Zdroj:	Bioinformatics and Biomedical Engineering ISBN: 9783319164793 IWBBIO (2)
Popis:	The aim of this study is to assess whether image processing causes information lost on mammography images. In the study, 50 mammogram from MIAS database (open database of mammograms) are selected: 20 images include mass, 20 images include calcification and 10 normal images. Selected images are read and marked by radiologists. The same radiologists read the enhanced version of images after three months later. In order to assess the consistency, inter-rater reliability statistics are used. Results indicate that image processing on mammography images especially images without calcification does not affect radiologists’ evaluation consistency. Also, it is indicated that images including calcifications reduce evaluation consistency of the radiologists and it is decided to use other image processing methods for images with calcifications.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c6c276b6063a7d12bda031e639828e0f https://doi.org/10.1007/978-3-319-16480-9_8 Zobrazit plný text záznamu