Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs.

Bounias D, Singh A, Bakas S, Pati S, Rathore S, Akbari H, Bilello M, Greenberger BA, Lombardo J, Chitalia RD, Jahani N, Gastounioti A, Hershman M, Roshkovan L, Katz SI, Yousefi B, Lou C, Simpson AL, Do RKG, Shinohara RT, Kontos D, Nikita K, Davatzikos C

Open source

DOI
10.3390/app11167488
Published
2021 Aug 2
Container
Applied sciences (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/app11167488,
  title = {Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs.},
  author = {Bounias D and Singh A and Bakas S and Pati S and Rathore S and Akbari H and Bilello M and Greenberger BA and Lombardo J and Chitalia RD and Jahani N and Gastounioti A and Hershman M and Roshkovan L and Katz SI and Yousefi B and Lou C and Simpson AL and Do RKG and Shinohara RT and Kontos D and Nikita K and Davatzikos C},
  year = {2021},
  journal = {Applied sciences (Basel, Switzerland)},
  doi = {10.3390/app11167488},
  url = {https://doi.org/10.3390/app11167488}
}

RIS

TY  - JOUR
TI  - Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs.
AU  - Bounias D
AU  - Singh A
AU  - Bakas S
AU  - Pati S
AU  - Rathore S
AU  - Akbari H
AU  - Bilello M
AU  - Greenberger BA
AU  - Lombardo J
AU  - Chitalia RD
AU  - Jahani N
AU  - Gastounioti A
AU  - Hershman M
AU  - Roshkovan L
AU  - Katz SI
AU  - Yousefi B
AU  - Lou C
AU  - Simpson AL
AU  - Do RKG
AU  - Shinohara RT
AU  - Kontos D
AU  - Nikita K
AU  - Davatzikos C
PY  - 2021
JO  - Applied sciences (Basel, Switzerland)
DO  - 10.3390/app11167488
UR  - https://doi.org/10.3390/app11167488
ER  - 

APA

D, B., A, S., S, B., S, P., S, R., H, A., M, B., BA, G., J, L., RD, C., N, J., A, G., M, H., L, R., SI, K., B, Y., C, L., AL, S., RKG, D., RT, S., D, K., K, N., & C, D. (2021). Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs.. Applied sciences (Basel, Switzerland). https://doi.org/10.3390/app11167488

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