Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology.
- DOI
- 10.1158/1541-7786.mcr-21-0665
- Published
- 2022 Feb
- Container
- Molecular cancer research : MCR
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1158/1541-7786.mcr-21-0665,
title = {Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology.},
author = {Rosenthal J and Carelli R and Omar M and Brundage D and Halbert E and Nyman J and Hari SN and Van Allen EM and Marchionni L and Umeton R and Loda M},
year = {2022},
journal = {Molecular cancer research : MCR},
doi = {10.1158/1541-7786.mcr-21-0665},
url = {https://doi.org/10.1158/1541-7786.mcr-21-0665}
}RIS
TY - JOUR TI - Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology. AU - Rosenthal J AU - Carelli R AU - Omar M AU - Brundage D AU - Halbert E AU - Nyman J AU - Hari SN AU - Van Allen EM AU - Marchionni L AU - Umeton R AU - Loda M PY - 2022 JO - Molecular cancer research : MCR DO - 10.1158/1541-7786.mcr-21-0665 UR - https://doi.org/10.1158/1541-7786.mcr-21-0665 ER -
APA
J, R., R, C., M, O., D, B., E, H., J, N., SN, H., EM, V. A., L, M., R, U., & M, L. (2022). Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology.. Molecular cancer research : MCR. https://doi.org/10.1158/1541-7786.mcr-21-0665
Source records
- pubmed · retrieved 2026-09-27T01:38:28.563Z