Towards Learning Spiculation Score of the Masses in Mammography Images

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Inna Stainvas, Jonathan Stoeckel, Eli Ratner, Menachem Abramov, Richard Lederman

Published: 01 Jan 2010, Last Modified: 06 Mar 2025Digital Mammography / IWDM 2010EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: 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.