Zobrazeno 1 - 10
of 40 802
pro vyhledávání: '"DCE-MRI"'
Publikováno v:
Progress in Modern Biomedicine. 2024, Issue 4, p670-674. 5p.
Publikováno v:
European Journal of Gynaecological Oncology. Feb2024, Vol. 45 Issue 1, p124-131. 8p.
Autor:
Zhou, Lei, Zhang, Yuzhong, Zhang, Jiadong, Qian, Xuejun, Gong, Chen, Sun, Kun, Ding, Zhongxiang, Wang, Xing, Li, Zhenhui, Liu, Zaiyi, Shen, Dinggang
Publikováno v:
2024,IEEE Transactions on Medical Imaging
Automated breast tumor segmentation on the basis of dynamic contrast-enhancement magnetic resonance imaging (DCE-MRI) has shown great promise in clinical practice, particularly for identifying the presence of breast disease. However, accurate segment
Externí odkaz:
http://arxiv.org/abs/2408.05803
Contrast-enhancement pattern analysis is critical in breast magnetic resonance imaging (MRI) to distinguish benign from probably malignant tumors. However, contrast-enhanced image acquisitions are time-consuming and very expensive. As an alternative
Externí odkaz:
http://arxiv.org/abs/2409.01596
Autor:
Lu Chen1,2, Guotao Yin3, Ziyang Wang2,4,5, Zifan Liu2,4, Chunxiao Sui2,4, Kun Chen2,4, Tianqiang Song1,2, Wengui Xu2,4, Lisha Qi2,6 Lqi01@tmu.edu.cn, Xiaofeng Li2,4 Xli03@tmu.edu.cn
Publikováno v:
BioScience Trends. Jun2024, Vol. 18 Issue 3, p263-276. 14p.
Autor:
in 't Zandt, René1 (AUTHOR) rene.in_t_zandt@med.lu.se, Mahmutovic Persson, Irma1,2 (AUTHOR), Tibiletti, Marta3 (AUTHOR), von Wachenfeldt, Karin4 (AUTHOR), Parker, Geoff J. M.3,5 (AUTHOR), Olsson, Lars E.2,6 (AUTHOR)
Publikováno v:
PLoS ONE. 9/27/2024, Vol. 19 Issue 9, p1-15. 15p.
Introduction: Quantification of dynamic contrast-enhanced (DCE)-MRI has the potential to provide valuable clinical information, but robust pharmacokinetic modeling remains a challenge for clinical adoption. Methods: A 7-layer neural network called DC
Externí odkaz:
http://arxiv.org/abs/2405.12360
Autor:
Garrucho, Lidia, Reidel, Claire-Anne, Kushibar, Kaisar, Joshi, Smriti, Osuala, Richard, Tsirikoglou, Apostolia, Bobowicz, Maciej, del Riego, Javier, Catanese, Alessandro, Gwoździewicz, Katarzyna, Cosaka, Maria-Laura, Abo-Elhoda, Pasant M., Tantawy, Sara W., Sakrana, Shorouq S., Shawky-Abdelfatah, Norhan O., Abdo-Salem, Amr Muhammad, Kozana, Androniki, Divjak, Eugen, Ivanac, Gordana, Nikiforaki, Katerina, Klontzas, Michail E., García-Dosdá, Rosa, Gulsun-Akpinar, Meltem, Lafcı, Oğuz, Mann, Ritse, Martín-Isla, Carlos, Prior, Fred, Marias, Kostas, Starmans, Martijn P. A., Strand, Fredrik, Díaz, Oliver, Igual, Laura, Lekadir, Karim
Current research in breast cancer Magnetic Resonance Imaging (MRI), especially with Artificial Intelligence (AI), faces challenges due to the lack of expert segmentations. To address this, we introduce the MAMA-MIA dataset, comprising 1506 multi-cent
Externí odkaz:
http://arxiv.org/abs/2406.13844
Autor:
Cicciarelli, Federica1 (AUTHOR) federica.cicciarelli@uniroma1.it, Guiducci, Elisa1 (AUTHOR) elisaguiducci1@gmail.com, Galati, Francesca1 (AUTHOR) giuliana.moffa@uniroma1.it, Moffa, Giuliana1 (AUTHOR) paolo.ricci@uniroma1.it, Ricci, Paolo1,2 (AUTHOR) federica.pediconi@uniroma1.it, Pediconi, Federica1 (AUTHOR) veronica.rizzo@uniroma1.it, Rizzo, Veronica1 (AUTHOR)
Publikováno v:
Diagnostics (2075-4418). Jun2024, Vol. 14 Issue 11, p1063. 15p.
Breast cancer is the most common malignant tumor among women and the second cause of cancer-related death. Early diagnosis in clinical practice is crucial for timely treatment and prognosis. Dynamic contrast-enhanced magnetic resonance imaging (DCE-M
Externí odkaz:
http://arxiv.org/abs/2404.13929