Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images

Identification of patients with early stage non-small cell lung cancer (NSCLC) with high risk of recurrence could help identify patients who would receive additional benefit from adjuvant therapy. In this work, we present a computational histomorphometric image classifier using nuclear orientation,...

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Detalles Bibliográficos
Autores principales: Wang, Xiangxue, Janowczyk, Andrew, Zhou, Yu, Thawani, Rajat, Fu, Pingfu, Schalper, Kurt, Velcheti, Vamsidhar, Madabhushi, Anant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5648794/
https://www.ncbi.nlm.nih.gov/pubmed/29051570
http://dx.doi.org/10.1038/s41598-017-13773-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5648794/
https://www.ncbi.nlm.nih.gov/pubmed/29051570
http://dx.doi.org/10.1038/s41598-017-13773-7

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