Zobrazeno 1 - 10
of 308
pro vyhledávání: '"Nico, Karssemeijer"'
Autor:
Tao Tan, Alejandro Rodriguez-Ruiz, Tianyu Zhang, Lin Xu, Regina G. H. Beets-Tan, Yingzhao Shen, Nico Karssemeijer, Jun Xu, Ritse M. Mann, Lingyun Bao
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-9 (2023)
Key points 1. Combining AI systems from different modalities may increase the overall performance. 2. Combined AI outperforms readers from single modalities for breast cancer detection. 3. Combined AI can be an alternative to radiologists in breast i
Externí odkaz:
https://doaj.org/article/7152dbf275f3459cb7d84022c15aa7be
Autor:
Wendelien B. G. Sanderink, Babette I. Laarhuis, Luc J. A. Strobbe, Ioannis Sechopoulos, Peter Bult, Nico Karssemeijer, Ritse M. Mann
Publikováno v:
Insights into Imaging, Vol 10, Iss 1, Pp 1-12 (2019)
Abstract Purpose To outline the current status of and provide insight into possible future research on the breast lesion excision system (BLES) as a diagnostic and therapeutic device. Methods A systematic search of the literature was performed using
Externí odkaz:
https://doaj.org/article/ab22f9e7c8674aac872ca80e7f67ad58
Publikováno v:
Diagnostics, Vol 12, Iss 7, p 1690 (2022)
Automatic breast and fibro-glandular tissue (FGT) segmentation in breast MRI allows for the efficient and accurate calculation of breast density. The U-Net architecture, either 2D or 3D, has already been shown to be effective at addressing the segmen
Externí odkaz:
https://doaj.org/article/32bfdee605b94eafb2c836ea1a83c093
Autor:
Suzan Vreemann, Jan C. M. van Zelst, Margrethe Schlooz-Vries, Peter Bult, Nicoline Hoogerbrugge, Nico Karssemeijer, Albert Gubern-Mérida, Ritse M. Mann
Publikováno v:
Breast Cancer Research, Vol 20, Iss 1, Pp 1-12 (2018)
Abstract Background Breast magnetic resonance imaging (MRI) is the most sensitive imaging method for breast cancer detection and is therefore offered as a screening technique to women at increased risk of developing breast cancer. However, mammograph
Externí odkaz:
https://doaj.org/article/5c0c15d61d354fc2a7d5477599bca24f
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:
Katharina Holland, Ioannis Sechopoulos, Ritse M. Mann, Gerard J. den Heeten, Carla H. van Gils, Nico Karssemeijer
Publikováno v:
Breast Cancer Research, Vol 19, Iss 1, Pp 1-8 (2017)
Abstract Background In mammography, breast compression is applied to reduce the thickness of the breast. While it is widely accepted that firm breast compression is needed to ensure acceptable image quality, guidelines remain vague about how much com
Externí odkaz:
https://doaj.org/article/61270313cdd94ace94d515bc9f545fa3
Autor:
Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Inge W. M. van Uden, Clara I. Sanchez, Geert Litjens, Frank-Erik de Leeuw, Bram van Ginneken, Elena Marchiori, Bram Platel
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
Abstract The anatomical location of imaging features is of crucial importance for accurate diagnosis in many medical tasks. Convolutional neural networks (CNN) have had huge successes in computer vision, but they lack the natural ability to incorpora
Externí odkaz:
https://doaj.org/article/c8edbcfcdad649f9906176888436eca7
Autor:
Johanna O. P. Wanders, Katharina Holland, Nico Karssemeijer, Petra H. M. Peeters, Wouter B. Veldhuis, Ritse M. Mann, Carla H. van Gils
Publikováno v:
Breast Cancer Research, Vol 19, Iss 1, Pp 1-13 (2017)
Abstract Background In the light of the breast density legislation in the USA, it is important to know a woman’s breast cancer risk, but particularly her risk of a tumor that is not detected through mammographic screening (interval cancer). Therefo
Externí odkaz:
https://doaj.org/article/d46254048b804844918fecb1ad4a58c9
Autor:
Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Mayra Bergkamp, Joost Wissink, Jiri Obels, Karlijn Keizer, Frank-Erik de Leeuw, Bram van Ginneken, Elena Marchiori, Bram Platel
Publikováno v:
NeuroImage: Clinical, Vol 14, Iss C, Pp 391-399 (2017)
Lacunes of presumed vascular origin (lacunes) are associated with an increased risk of stroke, gait impairment, and dementia and are a primary imaging feature of the small vessel disease. Quantification of lacunes may be of great importance to elucid
Externí odkaz:
https://doaj.org/article/03980c9d58144793bf648deb379401f1
Autor:
Suzan Vreemann, Albert Gubern-Mérida, Cristina Borelli, Peter Bult, Nico Karssemeijer, Ritse M Mann
Publikováno v:
PLoS ONE, Vol 13, Iss 1, p e0191399 (2018)
Higher background parenchymal enhancement (BPE) could be used for stratification of MRI screening programs since it might be related to a higher breast cancer risk. Therefore, the purpose of this study is to correlate BPE to patient and tumor charact
Externí odkaz:
https://doaj.org/article/ea1ae150eeff45af86967300ed80e7fd