Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology

Imaging datasets in cancer research are growing exponentially in both quantity and information density. These massive datasets may enable derivation of insights for cancer research and clinical care, but only if researchers are equipped with the tools to leverage advanced computational analysis appr...

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Detalles Bibliográficos
Autores principales: Rosenthal, Jacob, Carelli, Ryan, Omar, Mohamed, Brundage, David, Halbert, Ella, Nyman, Jackson, Hari, Surya N., Van Allen, Eliezer M., Marchionni, Luigi, Umeton, Renato, Loda, Massimo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2022
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127877/
https://www.ncbi.nlm.nih.gov/pubmed/34880124
http://dx.doi.org/10.1158/1541-7786.MCR-21-0665

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127877/
https://www.ncbi.nlm.nih.gov/pubmed/34880124
http://dx.doi.org/10.1158/1541-7786.MCR-21-0665

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