ConvPath: A software tool for lung adenocarcinoma digital pathological image analysis aided by a convolutional neural network
Author:
Funder
National Institutes of Health
Publisher
Elsevier BV
Subject
General Biochemistry, Genetics and Molecular Biology,General Medicine
Reference62 articles.
1. The 2015 world health organization classification of lung tumors: impact of genetic, clinical and radiologic advances since the 2004 classification;Travis;J Thorac Oncol,2015
2. Hallmarks of cancer: the next generation;Hanahan;Cell,2011
3. Tumors as organs: complex tissues that interface with the entire organism;Egeblad;Dev. Cell,2010
4. Macrophage diversity enhances tumor progression and metastasis;Qian;Cell,2010
5. ImageNet classification with deep convolutional neural networks;Krizhevsky;Commun Acm,2017
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