[HTML][HTML] Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

KH Yu, C Zhang, GJ Berry, RB Altman, C Ré… - Nature …, 2016 - nature.com
Lung cancer is the most prevalent cancer worldwide, and histopathological assessment is
indispensable for its diagnosis. However, human evaluation of pathology slides cannot …

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

KH Yu, C Zhang, GJ Berry, RB Altman… - Nature …, 2016 - ui.adsabs.harvard.edu
Lung cancer is the most prevalent cancer worldwide, and histopathological assessment is
indispensable for its diagnosis. However, human evaluation of pathology slides cannot …

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features.

KH Yu, C Zhang, GJ Berry, RB Altman, C Ré… - Nature …, 2016 - europepmc.org
Lung cancer is the most prevalent cancer worldwide, and histopathological assessment is
indispensable for its diagnosis. However, human evaluation of pathology slides cannot …

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

KH Yu, C Zhang, GJ Berry, RB Altman, C Ré… - Nature …, 2016 - ideas.repec.org
Lung cancer is the most prevalent cancer worldwide, and histopathological assessment is
indispensable for its diagnosis. However, human evaluation of pathology slides cannot …

[PDF][PDF] Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image

KH Yu, C Zhang, GJ Berry, RB Altman, C Ré… - NATURE … - cyberleninka.org
We obtained 2,186 haematoxylin and eosin (H&E) stained whole-slide histopathology
images from The Cancer Genome Atlas (TCGA) 37, 38, encompassing lung …

[HTML][HTML] Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

KH Yu, C Zhang, GJ Berry, RB Altman, C Ré… - Nature …, 2016 - ncbi.nlm.nih.gov
Lung cancer is the most prevalent cancer worldwide, and histopathological assessment is
indispensable for its diagnosis. However, human evaluation of pathology slides cannot …

[PDF][PDF] Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image

KH Yu, C Zhang, GJ Berry, RB Altman, C Ré… - NATURE … - academia.edu
We obtained 2,186 haematoxylin and eosin (H&E) stained whole-slide histopathology
images from The Cancer Genome Atlas (TCGA) 37, 38, encompassing lung …

[HTML][HTML] Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

KH Yu, C Zhang, GJ Berry, RB Altman, C Ré… - Nature …, 2016 - nature.com
Lung cancer is the most prevalent cancer worldwide, and histopathological assessment is
indispensable for its diagnosis. However, human evaluation of pathology slides cannot …

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

KH Yu, C Zhang, GJ Berry, RB Altman… - Nature …, 2016 - econpapers.repec.org
Lung cancer is the most prevalent cancer worldwide, and histopathological assessment is
indispensable for its diagnosis. However, human evaluation of pathology slides cannot …

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

KH Yu, C Zhang, GJ Berry, RB Altman… - Nature …, 2016 - pubmed.ncbi.nlm.nih.gov
Lung cancer is the most prevalent cancer worldwide, and histopathological assessment is
indispensable for its diagnosis. However, human evaluation of pathology slides cannot …