Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Leng Leng, Young Lin"'
Publikováno v:
RadioGraphics. 38:983-996
Breast density, fibroglandular tissue, and background parenchymal enhancement (BPE) are recognized independent biomarkers for breast cancer risk. For this reason, reproducibility and consistency in objective assessment of these parameters at mammogra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c60fafcb42cef841d526a494139544f2
https://doi.org/10.1148/rg.2018180035
https://doi.org/10.1148/rg.2018180035
Publikováno v:
Academic Radiology. 24:1612-1615
Rationale and Objectives To characterize online news coverage relating to mammography, including articles' stance toward screening mammography. Materials and Methods Google News was used to search U.S. news sites over a 9-year period (2006–2015) ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58352fb77e38556589bbccb2058b8701
https://doi.org/10.1016/j.acra.2017.05.011
https://doi.org/10.1016/j.acra.2017.05.011
Autor:
Adrienne Newburg, Linda Moy, Chloe M. Chhor, Samantha L. Heller, Jennifer Gillman, Hildegard K. Toth, Leng Leng Young Lin
Publikováno v:
Journal of Ultrasound in Medicine. 36:493-504
OBJECTIVES This study was performed to determine the frequency, predictors, and outcomes of ultrasound (US) correlates for non-mass enhancement. METHODS From January 2005 to December 2011, a retrospective review of 5837 consecutive breast magnetic re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfa960cf04984612359ab3f3c5a1c6e4
https://doi.org/10.7863/ultra.16.03001
https://doi.org/10.7863/ultra.16.03001
Autor:
Alana A. Lewin, Yiming Gao, Hildegard K. Toth, Linda Moy, Leng Leng Young Lin, Samantha L. Heller
Publikováno v:
AJR. American journal of roentgenology. 212(4)
The purpose of this study was to assess the rate, type, and severity of complications related to 9-gauge stereotactic vacuum-assisted breast biopsy (SVAB) and to delineate associated factors that may contribute to a higher rate of complications.This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::731d259fc0e9b5942a8ee4d498311ac7
https://pubmed.ncbi.nlm.nih.gov/30741561
https://pubmed.ncbi.nlm.nih.gov/30741561
Autor:
Naziya Samreen, Beatriu Reig, Kara Ho, Kyunghyun Cho, Jungkyu Park, Laura Heacock, Zhe Huang, Sushma Gaddam, Eric Kim, Yiming Gao, Linda Moy, Joshua D. Weinstein, Jason Phang, Nan Wu, Jiyon Lee, Yiqiu Shen, Alana A. Lewin, Masha Zorin, Ujas Parikh, Krzysztof J. Geras, S. Gene Kim, Krystal Airola, Stacey Wolfson, Hildegard B. Toth, Stephanie H Chung, Joe Katsnelson, Thibault Févry, Eralda Mema, Leng Leng Young Lin, Kristine Pysarenko, Esther Hwang, Stanisław Jastrzębski
Publikováno v:
IEEE transactions on medical imaging
We present a deep convolutional neural network for breast cancer screening exam classification, trained and evaluated on over 200,000 exams (over 1,000,000 images). Our network achieves an AUC of 0.895 in predicting whether there is a cancer in the b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53329e18a25d244b7312111ada30eecd
Autor:
Adrienne R, Newburg, Chloe M, Chhor, Leng Leng, Young Lin, Samantha L, Heller, Jennifer, Gillman, Hildegard K, Toth, Linda, Moy
Publikováno v:
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine. 36(3)
This study was performed to determine the frequency, predictors, and outcomes of ultrasound (US) correlates for non-mass enhancement.From January 2005 to December 2011, a retrospective review of 5837 consecutive breast magnetic resonance imaging exam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::6bc6bd39d52c7776a3c642108505ce9f
https://pubmed.ncbi.nlm.nih.gov/28108994
https://pubmed.ncbi.nlm.nih.gov/28108994