Towards Learning Spiculation Score of the Masses in Mammography Images

Autor:	Richard Lederman, Inna Stainvas, Eli Ratner, Menachem Abramov, Jonathan Stoeckel
Rok vydání:	2010
Předmět:	Variable (computer science) medicine.diagnostic_test business.industry medicine Mammography Pattern recognition Artificial intelligence business Machine learning computer.software_genre computer Mathematics
Zdroj:	Digital Mammography ISBN: 9783642136658 Digital Mammography / IWDM
DOI:	10.1007/978-3-642-13666-5_37
Popis:	This paper deals with learning spiculation scores of masses in a supervised manner Three spiculation score prediction models treating the score either as a continuous or ordinary variable are presented These models were compared on a data-set of 255 masses.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::76c63e8e3ced86c24835d0f456b66286 https://doi.org/10.1007/978-3-642-13666-5_37 Zobrazit plný text záznamu