Fully convolutional neural network-based segmentation of brain metastases: a comprehensive approach for accurate detection and localization
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00521-024-10334-8.pdf
Reference26 articles.
1. American Association of Neurological Surgeons (AANS): Metastatic Brain Tumors. (n.d.) https://www.aans.org/en/Patients/Neurosurgical-Conditions-and-Treatments/Metastatic-Brain-Tumors
2. Johns Hopkins Medicine: Metastatic Brain Tumors. (n.d.) https://www.hopkinsmedicine.org/health/conditions-and-diseases/metastatic-brain-tumors
3. Canadian Cancer Society: Brain Metastases. (n.d.) https://cancer.ca/en/cancer-information/cancer-types/metastatic/brain-metastases
4. Grovik E, Yi D, Iv M, Tong E, Rubin DL, Zaharchuk G (2019) Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI. J Magn Reson Imaging 51(1):175–182
5. Liu Y, Stenmark MH, Jolly S et al (2021) Deep learning-based automatic detection of brain metastases in heterogenous multi-institutional magnetic resonance imaging sets: an exploratory analysis of NRG-CC001. Int J Radiat Oncol Biol Phys 111(4):889–899. https://doi.org/10.1016/j.ijrobp.2021.02.057
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