Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Michiel Kallenberg"'
Autor:
Johanna O. P. Wanders, Carla H. van Gils, Nico Karssemeijer, Katharina Holland, Michiel Kallenberg, Petra H. M. Peeters, Mads Nielsen, Martin Lillholm
Publikováno v:
Breast Cancer Research, Vol 20, Iss 1, Pp 1-10 (2018)
Abstract Background Texture patterns have been shown to improve breast cancer risk segregation in addition to area-based mammographic density. The additional value of texture pattern scores on top of volumetric mammographic density measures in a larg
Externí odkaz:
https://doaj.org/article/3310006b5b914556901f713397d2cb4e
Autor:
Albert Gubern-Mérida, Michiel Kallenberg, Bram Platel, Ritse M Mann, Robert Martí, Nico Karssemeijer
Publikováno v:
PLoS ONE, Vol 9, Iss 1, p e85952 (2014)
ObjectivesTo objectively evaluate automatic volumetric breast density assessment in Full-Field Digital Mammograms (FFDM) using measurements obtained from breast Magnetic Resonance Imaging (MRI).Material and methodsA commercially available method for
Externí odkaz:
https://doaj.org/article/93fb37c575cc413caef60e8bf73800c7
Autor:
Michiel Kallenberg, Mahlet A. Birhanu, Nico Karssemeijer, C Doiriel Vanegas, Albert Gubern-Mérida
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Breast density is an important factor in breast cancer screening. Methods exist to measure the volume of dense breast tissue from 2D mammograms. However, these methods can only be applied to raw mammograms. Breast density classification methods that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3dbf48acc55f7edc00d288a84e42c70
https://doi.org/10.1117/12.2512818
https://doi.org/10.1117/12.2512818
Autor:
Petra H.M. Peeters, Nico Karssemeijer, Katharina Holland, Johanna O. P. Wanders, Mads Nielsen, Carla H. van Gils, Michiel Kallenberg, Martin Lillholm
Publikováno v:
Wanders, J O P, van Gils, C H, Karssemeijer, N, Holland, K, Kallenberg, M, Peeters, P H M, Nielsen, M & Lillholm, M 2018, ' The combined effect of mammographic texture and density on breast cancer risk : a cohort study ', Breast Cancer Research, vol. 20, 36 . https://doi.org/10.1186/s13058-018-0961-7
Breast Cancer Research, 20
Breast Cancer Research, 20(1). BioMed Central
Breast Cancer Research, Vol 20, Iss 1, Pp 1-10 (2018)
Breast Cancer Research : BCR
Breast Cancer Research, 20
Breast Cancer Research, 20(1). BioMed Central
Breast Cancer Research, Vol 20, Iss 1, Pp 1-10 (2018)
Breast Cancer Research : BCR
Background Texture patterns have been shown to improve breast cancer risk segregation in addition to area-based mammographic density. The additional value of texture pattern scores on top of volumetric mammographic density measures in a large screeni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::159cb87ef30c2abbee81e57b5b1d52a1
https://curis.ku.dk/portal/da/publications/the-combined-effect-of-mammographic-texture-and-density-on-breast-cancer-risk(6004ac6e-e9f9-4356-8569-98c69e172936).html
https://curis.ku.dk/portal/da/publications/the-combined-effect-of-mammographic-texture-and-density-on-breast-cancer-risk(6004ac6e-e9f9-4356-8569-98c69e172936).html
Autor:
Mads Nielsen, Akshay Pai, Yuan-Ching Teng, Stefan Sommer, Christian Igel, Michiel Kallenberg, Joseph P.M. Blair, Erik B. Dam
Publikováno v:
Deep Learning for Medical Image Analysis
With ever-increasing data in the field of medical imaging, the availability of robust methods for quantitative analysis in large-scale studies is the need of the hour. In recent times, there has been a significant increase in the use of deep learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b39651efe93ee62a7de1578f2103a4f8
https://doi.org/10.1016/b978-0-12-810408-8.00013-4
https://doi.org/10.1016/b978-0-12-810408-8.00013-4
Autor:
R. Venkatesh Babu, Yaniv Bar, Joseph Blair, Andrew P. Bradley, Gustavo Carneiro, Hao Chen, Erik B. Dam, Idit Diamant, Qi Dou, Michael D. Feldman, Renee Frank, Yaozong Gao, Bogdan Georgescu, Ofer Geva, Florin C. Ghesu, Hayit Greenspan, Yanrong Guo, Pheng-Ann Heng, Joachim Hornegger, R. Todd Hurst, Christian Igel, Vamsi K. Ithapu, Andrew Janowczyk, Sterling C. Johnson, Michiel Kallenberg, Christopher B. Kendall, Minjeong Kim, Eli Konen, Srinivas S.S. Kruthiventi, Jianming Liang, Rui Liao, Sivan Lieberman, Le Lu, Anant Madabhushi, Kenneth B. Margulies, Dimitris Metaxas, Shun Miao, Vincent C.T. Mok, Konda R. Mopuri, Jacinto Nascimento, Hien Van Nguyen, Mads Nielsen, Jeffrey J. Nirschl, Akshay Pai, Eliot G. Peyster, Nikita Prabhu, Jing Qin, Ravi K. Sarvadevabhatla, Dinggang Shen, Lin Shi, Hoo-Chang Shin, Jae Y. Shin, Vikas Singh, Stefan Sommer, Suraj Srinivas, Heung-Il Suk, Ronald M. Summers, Nima Tajbakhsh, Yuan-Ching Teng, Raviteja Vemulapalli, Defeng Wang, Jane Z. Wang, Shaoyu Wang, Lior Wolf, Guorong Wu, Yuanpu Xie, Fuyong Xing, Zhennan Yan, Lin Yang, Lequan Yu, Yiqiang Zhan, Shaoting Zhang, Lei Zhao, S. Kevin Zhou, Xiang Sean Zhou, Gali Zimmerman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08515dc6c341cb0e65d35266883668cf
https://doi.org/10.1016/b978-0-12-810408-8.00029-8
https://doi.org/10.1016/b978-0-12-810408-8.00029-8
Autor:
Michael Bachmann Nielsen, Ilse Vejborg, Elsebeth Lynge, Rikke Rass Winkel, Mads Nielsen, Wei Yao Uldall, Martin Lillholm, Michiel Kallenberg, Pengfei Diao, My von Euler-Chelpin, Julie Lyng Forman
Publikováno v:
Cancer epidemiology. 49
Background The long-term risk of breast cancer is increased in women with false-positive (FP) mammography screening results. We investigated whether mammographic morphology and/or density can be used to stratify these women according to their risk of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2903ef2fe38e461d3db14f2b62a01206
https://pubmed.ncbi.nlm.nih.gov/28558329
https://pubmed.ncbi.nlm.nih.gov/28558329
Autor:
Mads Nielsen, Nico Karssemeijer, Katharina Holland, Martin Lillholm, Christian Igel, Michiel Kallenberg
Publikováno v:
Breast Imaging ISBN: 9783319415451
Digital Mammography / IWDM
Digital Mammography / IWDM
Breast cancer risk assessment is becoming increasingly important in clinical practice. It has been suggested that features that characterize mammographic texture are more predictive for breast cancer than breast density. Yet, strong correlation betwe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4df9bef350e79e8bbeeb2bb178f2cb45
https://doi.org/10.1007/978-3-319-41546-8_38
https://doi.org/10.1007/978-3-319-41546-8_38
Autor:
Gerard J. den Heeten, Carla H. van Gils, Michiel Kallenberg, Mariëtte Lokate, Nico Karssemeijer
Publikováno v:
Physics in medicine and biology, 57(16), 5155-5168. IOP Publishing Ltd.
Physics in Medicine and Biology, 57, 5155-5168
Physics in Medicine and Biology, 57, pp. 5155-5168
Physics in Medicine and Biology, 57, 5155-5168
Physics in Medicine and Biology, 57, pp. 5155-5168
Item does not contain fulltext For the acquisition of a mammogram, a breast is compressed between a compression paddle and a support table. When compression is applied with a flexible compression paddle, the upper plate may be tilted, which results i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5970433b74ec2d34434f7c75602191b2
https://hdl.handle.net/2066/111044
https://hdl.handle.net/2066/111044
Publikováno v:
Physics in Medicine and Biology, 56, 2715-29
Physics in Medicine and Biology, 56, 9, pp. 2715-29
Physics in Medicine and Biology, 56, 9, pp. 2715-29
Item does not contain fulltext Mammographic breast density has been found to be a strong risk factor for breast cancer. In most studies, it is assessed with a user-assisted threshold method, which is time consuming and subjective. In this study, we d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::927b2cd75fdfc717a394df122f3b43a1
https://hdl.handle.net/2066/97662
https://hdl.handle.net/2066/97662