Comparative analysis of the spatial distribution of brain metastases across several primary cancers using machine learning and deep learning models-Reference-Cited by-同舟云学术

Comparative analysis of the spatial distribution of brain metastases across several primary cancers using machine learning and deep learning models

Published:2024-04-02 Issue:3 Volume:167 Page:501-508
ISSN:0167-594X
Container-title:Journal of Neuro-Oncology
language:en
Short-container-title:J Neurooncol

Author:

Mahmoodifar Saeedeh,Pangal Dhiraj J.,Neman Josh,Zada Gabriel,Mason Jeremy,Salhia Bodour,Kaisman-Elbaz Tehila,Peker Selcuk,Samanci Yavuz,Hamel Andréanne,Mathieu David,Tripathi Manjul,Sheehan Jason,Pikis Stylianos,Mantziaris Georgios,Newton Paul K.

Funder

National Institutes of Health

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11060-024-04630-5.pdf

Reference21 articles.

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2. In GK, Mason J, Lin S, Newton PK, Kuhn P, Nieva J (2017) Development of metastatic brain disease involves progression through lung metastases in egfr mutated non-small cell lung cancer. Converg Sci Phys Oncol 3(3):035002. https://doi.org/10.1088/2057-1739/aa7a8d

3. Newton PK, Mason J, Venkatappa N, Jochelson MS, Hurt B, Nieva J, Comen E, Norton L, Kuhn P (2015) Spatiotemporal progression of metastatic breast cancer: a markov chain model highlighting the role of early metastatic sites. NPJ Breast Cancer 1(1):1–9. https://doi.org/10.1038/npjbcancer.2015.18

4. Newton PK, Mason J, Hurt B, Bethel K, Bazhenova L, Nieva J, Kuhn P (2014) Entropy, complexity and markov diagrams for random walk cancer models. Sci Rep 4(1):7558. https://doi.org/10.1038/srep07558

5. Newton PK, Mason J, Bethel K, Bazhenova L, Nieva J, Norton L, Kuhn P (2013) Spreaders and sponges define metastasis in lung cancer: a markov chain monte carlo mathematical model. Can Res 73(9):2760–2769. https://doi.org/10.1158/0008-5472.CAN-12-4488