High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer

10.1186/bcr3238

Saved in:

Bibliographic Details
Main Authors:	Li, J, Szekely, L, Eriksson, L, Heddson, B, Sundbom, A, Czene, K, Hall, P, Humphreys, K
Other Authors:	SURGERY
Format:	Article
Published:	2020
Subjects:	adult aged article automation breast cancer cancer risk computer program controlled study female gold standard high throughput screening human logistic regression analysis major clinical study mammography measurement risk assessment statistical model area under the curve artificial intelligence breast tumor case control study congenital malformation early diagnosis image processing mammary gland middle aged procedures radiography risk factor standards Aged Area Under Curve Artificial Intelligence Breast Neoplasms Case-Control Studies Early Detection of Cancer Female Humans Image Processing, Computer-Assisted Mammary Glands, Human Mammography Middle Aged Risk Assessment Risk Factors
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/183229
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

id	sg-nus-scholar.10635-183229
record_format	dspace
spelling	sg-nus-scholar.10635-1832292024-04-25T02:36:29Z High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer Li, J Szekely, L Eriksson, L Heddson, B Sundbom, A Czene, K Hall, P Humphreys, K SURGERY adult aged article automation breast cancer cancer risk computer program controlled study female gold standard high throughput screening human logistic regression analysis major clinical study mammography measurement risk assessment statistical model area under the curve artificial intelligence breast tumor case control study congenital malformation early diagnosis image processing mammary gland middle aged procedures radiography risk factor standards Aged Area Under Curve Artificial Intelligence Breast Neoplasms Case-Control Studies Early Detection of Cancer Female Humans Image Processing, Computer-Assisted Mammary Glands, Human Mammography Middle Aged Risk Assessment Risk Factors 10.1186/bcr3238 Breast Cancer Research 14 4 R114 2020-11-10T00:35:48Z 2020-11-10T00:35:48Z 2012 Article Li, J, Szekely, L, Eriksson, L, Heddson, B, Sundbom, A, Czene, K, Hall, P, Humphreys, K (2012). High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer. Breast Cancer Research 14 (4) : R114. ScholarBank@NUS Repository. https://doi.org/10.1186/bcr3238 14655411 https://scholarbank.nus.edu.sg/handle/10635/183229 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	adult aged article automation breast cancer cancer risk computer program controlled study female gold standard high throughput screening human logistic regression analysis major clinical study mammography measurement risk assessment statistical model area under the curve artificial intelligence breast tumor case control study congenital malformation early diagnosis image processing mammary gland middle aged procedures radiography risk factor standards Aged Area Under Curve Artificial Intelligence Breast Neoplasms Case-Control Studies Early Detection of Cancer Female Humans Image Processing, Computer-Assisted Mammary Glands, Human Mammography Middle Aged Risk Assessment Risk Factors
spellingShingle	adult aged article automation breast cancer cancer risk computer program controlled study female gold standard high throughput screening human logistic regression analysis major clinical study mammography measurement risk assessment statistical model area under the curve artificial intelligence breast tumor case control study congenital malformation early diagnosis image processing mammary gland middle aged procedures radiography risk factor standards Aged Area Under Curve Artificial Intelligence Breast Neoplasms Case-Control Studies Early Detection of Cancer Female Humans Image Processing, Computer-Assisted Mammary Glands, Human Mammography Middle Aged Risk Assessment Risk Factors Li, J Szekely, L Eriksson, L Heddson, B Sundbom, A Czene, K Hall, P Humphreys, K High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer
description	10.1186/bcr3238
author2	SURGERY
author_facet	SURGERY Li, J Szekely, L Eriksson, L Heddson, B Sundbom, A Czene, K Hall, P Humphreys, K
format	Article
author	Li, J Szekely, L Eriksson, L Heddson, B Sundbom, A Czene, K Hall, P Humphreys, K
author_sort	Li, J
title	High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer
title_short	High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer
title_full	High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer
title_fullStr	High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer
title_full_unstemmed	High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer
title_sort	high-throughput mammographic-density measurement: a tool for risk prediction of breast cancer
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/183229
_version_	1800914683471855616

High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer

Similar Items