Histopathological imaging features- versus molecular measurements-based cancer prognosis modeling

  title={Histopathological imaging features- versus molecular measurements-based cancer prognosis modeling},
  author={Sanguo Zhang and Yu Fan and Tingyan Zhong and Shuangge Ma},
  journal={Scientific Reports},
For lung and many other cancers, prognosis is essentially important, and extensive modeling has been carried out. Cancer is a genetic disease. In the past 2 decades, diverse molecular data (such as gene expressions and DNA mutations) have been analyzed in prognosis modeling. More recently, histopathological imaging data, which is a “byproduct” of biopsy, has been suggested as informative for prognosis. In this article, with the TCGA LUAD and LUSC data, we examine and directly compare modeling… 

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Histopathological Imaging–Environment Interactions in Cancer Modeling

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Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis

  • Xin LuoX. Zang Guanghua Xiao
  • Medicine, Biology
    Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
  • 2017

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