A structured latent model for ovarian carcinoma subtyping from histopathology slides

References

Page 1

	Year	Citations
ImageNet classification with deep convolutional neural networks Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton Communications of the ACM Convolutional Neural NetworkEngineeringMachine LearningNeural NetworkImagenet Classification	2017	75.5K
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, IEEE Transactions on Medical Imaging Convolutional Neural NetworkEngineeringMachine LearningFeature DetectionAutoencoders	2016	5.7K
A discriminatively trained, multiscale, deformable part model Pedro F. Felzenszwalb, David McAllester, Deva Ramanan Structured PredictionEngineeringMachine LearningDeformable Part ModelPascal Challenge	2008	2.9K
An analysis of single-layer networks in unsupervised feature learning Adam Coates, Andrew Y. Ng, Honglak Lee	2011	2.5K
Medical Image Computing and Computer-Assisted Intervention Gao Yang, David J. Hawkes, Daniel Rueckert, Research Explorer (The University of Manchester) Image AnalysisEngineeringMedical ImagingBiomedical ImagingImage Guidance	2009	1.6K
ImageNet classification with deep convolutional neural networks Krizhevsky Medical Entomology and Zoology Imagenet ClassificationConvolutional Neural NetworkDeep Neural NetworksMachine VisionMachine Learning	2012	765
Proceedings of the 26th Annual International Conference on Machine Learning Andrea Danyluk, Léon Bottou, Michael L. Littman Artificial IntelligenceEngineeringMachine LearningData ScienceData Mining	2009	686
New insights into ovarian cancer pathology Jaime Prat Annals of Oncology Tumoral PathologyMedicinePathologyGynecologyOvarian Cancer Pathology	2012	312
Mitosis detection in breast cancer histological images An ICPR 2012 contest Roux Ludovic, Daniel Racoceanu, Nicolas Loménie, Journal of Pathology Informatics	2013	301
Weakly supervised histopathology cancer image segmentation and classification Yan Xu, Jun-Yan Zhu, Eric Chang, Medical Image Analysis Image AnalysisEngineeringMedical ImagingPattern RecognitionDigital Pathology	2014	292

Page 1