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Cardinal Multiridgelet-based Prostate Cancer Histological Image Classification for Gleason Grading.

, , , , , and . BIBM, page 315-320. IEEE Computer Society, (2011)

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A user-oriented web crawler for selectively acquiring online content in e-health research., , and . Bioinformatics, 30 (1): 104-114 (2014)A novel web informatics approach for automated surveillance of cancer mortality trends., , and . Journal of Biomedical Informatics, (2016)Multi-task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports., , and . INNS Conference on Big Data, volume 529 of Advances in Intelligent Systems and Computing, page 195-204. (2016)Residential Mobility and Lung Cancer Risk: Data-Driven Exploration Using Internet Sources., , and . SBP, volume 9021 of Lecture Notes in Computer Science, page 464-469. Springer, (2015)Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks., , , , , and . INNSBDDL, page 89-98. Springer, (2019)Computer-aided detection using non-convolutional neural network Gaussian processes., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109503N. SPIE, (2019)Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology., , , and . HCI (14), volume 10284 of Lecture Notes in Computer Science, page 123-138. Springer, (2017)Energy efficient stochastic-based deep spiking neural networks for sparse datasets., , and . BigData, page 311-318. IEEE Computer Society, (2017)Semi-Supervised Information Extraction for Cancer Pathology Reports., , , , , , , and . BHI, page 1-4. IEEE, (2019)Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC., , , , , and . BHI, page 1-4. IEEE, (2019)