Andreas Heindl,Galvin Khara,Joseph Yearsley,Michael O'Neill,Peter Kecskemethy,Tobias Rijken,Edith Karpati
申请号：
US16604662
公开号：
US20200074632A1
申请日:
2018.04.12
申请国别(地区):
US
年份:
2020
代理人:
摘要：
The present invention relates to a method and system that automatically classifies tissue type/patterns and density categories in mammograms. More particularly, the present invention relates to improving the quality of assessing density and tissue pattern distribution in mammography.According to a first aspect, there is provided a computer-aided method of analysing mammographic images, the method comprising the steps of: receiving a mammogram； segmenting one or more anatomical regions of the mammogram； identifying a tissue type and a density category classification for an anatomical region； and using the identified tissue type and density category classifications to generate classifications output for the mammogram.
