An automatic framework for assessing breast cancer risk due to various hormone replacement therapies (HRT): a novel CAD application in digital mammography
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An automatic framework for assessing breast cancer risk due to various hormone replacement therapies (HRT) : a novel CAD application in digital mammography. / Karemore, Gopal; Brandt, Sami; Nielsen, Mads.
2010. Abstract from 96th Scientific Assembly and Annual Meeting of Radiological Society of North America, RSNA 2010, , Chicago, United States.Research output: Contribution to conference › Conference abstract for conference › Research
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TY - ABST
T1 - An automatic framework for assessing breast cancer risk due to various hormone replacement therapies (HRT)
AU - Karemore, Gopal
AU - Brandt, Sami
AU - Nielsen, Mads
N1 - Serie: <em>Radiological Society of North America, RSNA 2010</em>, 96th Scientific Assembly and Annual Meeting, USA, RadioGraphics, 0271-5333, 1527-1323
PY - 2010
Y1 - 2010
N2 - It is well known that menopausal hormone therapy increases mammographic density. Increase in breast density may relate to breast cancer risk. Several computer assisted automatic methods for assessing mammographic density have been suggested by J.W. Byng (1996), N. Karssemeijer (1998), J.M. Boone(1998), S. Petroudi(2006), C. Tromans(2006) etc. All these findings aims at reproducing the radiologist’s categorical rating system or at segmenting the dense tissue to get percentage density score. Since ninety percent of breast cancers arise from the ductal and lobular glands we choose to investigate features describing the local elongatedness or stripiness, especially trained to see the effect of HRT (Hormone Replacement Therapy ) thereby providing a non-subjective and reproducible measure and compare it to the BIRADS and percentage density measure.
AB - It is well known that menopausal hormone therapy increases mammographic density. Increase in breast density may relate to breast cancer risk. Several computer assisted automatic methods for assessing mammographic density have been suggested by J.W. Byng (1996), N. Karssemeijer (1998), J.M. Boone(1998), S. Petroudi(2006), C. Tromans(2006) etc. All these findings aims at reproducing the radiologist’s categorical rating system or at segmenting the dense tissue to get percentage density score. Since ninety percent of breast cancers arise from the ductal and lobular glands we choose to investigate features describing the local elongatedness or stripiness, especially trained to see the effect of HRT (Hormone Replacement Therapy ) thereby providing a non-subjective and reproducible measure and compare it to the BIRADS and percentage density measure.
M3 - Conference abstract for conference
Y2 - 28 November 2010 through 3 December 2010
ER -
ID: 20572857