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Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.

, , , , , , and . Medical Image Anal., (2018)

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Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization., , , , , and . WACV, page 1-10. IEEE Computer Society, (2016)Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation., , , , , , and . Medical Image Anal., (2018)Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images., , , , , , , , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 388-397. (2016)Random Hinge Forest for Differentiable Learning., , , , and . CoRR, (2018)Supervised Aggregation of Classifiers using Artificial Prediction Markets., and . ICML, page 591-598. Omnipress, (2010)Location-based Radiology Report-Guided Semi-supervised Learning for Prostate Cancer Detection., , , , , , , , and . CoRR, (2024)Rapid Multi-organ Segmentation Using Context Integration and Discriminative Models., , , and . IPMI, volume 7917 of Lecture Notes in Computer Science, page 450-462. Springer, (2013)Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI., , , , , , , , , and 2 other author(s). ISBI, page 749-753. IEEE, (2017)No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients., , , , , , , , and . ISBI, page 1201-1205. IEEE, (2021)Detection of benign prostatic hyperplasia nodules in T2W MR images using fuzzy decision forest., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 978527. SPIE, (2016)