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Comprehensive analysis of lung cancer pathology images to discover tumor shape features that predict survival outcome
Shidan Wang, Alyssa Chen, Lin Yang, Ling Cai, Yang Xie, Junya Fujimoto, Adi Gazdar, Guanghua Xiao
doi: https://doi.org/10.1101/274332
Shidan Wang
1Quantitative Biomedical Research Center, Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, 75390, USA
Alyssa Chen
1Quantitative Biomedical Research Center, Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, 75390, USA
2Department of Computer Sciences, Massachusetts Institute of Technology
Lin Yang
1Quantitative Biomedical Research Center, Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, 75390, USA
3Department of Pathology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
Ling Cai
1Quantitative Biomedical Research Center, Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, 75390, USA
4Children’s Medical Center Research Institute at UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390 USA
Yang Xie
1Quantitative Biomedical Research Center, Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, 75390, USA
5Department of Bioinformatics, UT Southwestern Medical Center, Dallas, Texas, USA
6Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas, USA
Junya Fujimoto
7Department of Translational Molecular Pathology, Division of Pathology/Lab Medicine, University of Texas MD Anderson Cancer Center, Houston, TX
Adi Gazdar
6Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas, USA
7Department of Translational Molecular Pathology, Division of Pathology/Lab Medicine, University of Texas MD Anderson Cancer Center, Houston, TX
8Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, 75390, USA
Guanghua Xiao
1Quantitative Biomedical Research Center, Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, 75390, USA
5Department of Bioinformatics, UT Southwestern Medical Center, Dallas, Texas, USA
6Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas, USA
Article usage
Posted March 02, 2018.
Comprehensive analysis of lung cancer pathology images to discover tumor shape features that predict survival outcome
Shidan Wang, Alyssa Chen, Lin Yang, Ling Cai, Yang Xie, Junya Fujimoto, Adi Gazdar, Guanghua Xiao
bioRxiv 274332; doi: https://doi.org/10.1101/274332
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