Concepedia

Identification of patients with malignant biliary strictures using a cholangioscopy-based deep learning artificial intelligence (with video)

Neil B. Marya, Patrick Powers, Bret T. Petersen, Ryan Law, Andrew C. Storm, Rami R. Abusaleh, Prashanth Rau, Courtney Stead, Michael J. Levy, John A. Martin,

Gastrointestinal Endoscopy · 2022 · 74 citations · 28 references

Concepts

ComputingBiomedical InformaticsComputer ScienceArtificial IntelligenceHepatologyMachine LearningBiliary Tract DiseaseComputer-aided DiagnosisDeep LearningHepatobiliary DiseaseMedical Image AnalysisMedical ImagingBile Duct ImagingBiliary Stricture EvaluationDeep Learning In RadiologyDeep Learning-based Lesion ClassificationMalignant Biliary Obstruction

References

28

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 222.1K citations · Full text

Computing, Computer Science, Computer Vision +11

Scikit-learn: Machine Learning in Python

Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text

Computing, Computer Science, Artificial Intelligence +10

ImageNet: A large-scale hierarchical image database

Jia Deng, Wei Dong, Richard Socher et al. · 2009 IEEE Conference on Computer Vision and Pattern Recognition · 2009 · 61.8K citations

Computing, Computer Science, Computer Vision +12

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Martı́n Abadi, Ashish Agarwal, Paul Barham et al. · arXiv (Cornell University) · 2016 · 9.8K citations · Full text

Computing, Computer Engineering, Computer Science +13

Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images

Toshiaki Hirasawa, Kazuharu Aoyama, Tetsuya Tanimoto et al. · Gastric Cancer · 2018 · 728 citations · Full text

Medicine, Computer Science, Oncology +17