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Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.

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Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning., , , , , , , , and . CoRR, (2016)Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging., , , , , , , , and . Deep Learning and Convolutional Neural Networks for Medical Image Computing, Springer, (2017)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)Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization., , , , , and . WACV, page 1-10. IEEE Computer Society, (2016)Segmentation label propagation using deep convolutional neural networks and dense conditional random field., , , , , , and . ISBI, page 1265-1268. IEEE, (2016)3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management., , , , , , , , and . CoRR, (2020)DeepPap: Deep Convolutional Networks for Cervical Cell Classification., , , , , and . CoRR, (2018)Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition., , , , , , , and . WACV, page 998-1007. IEEE Computer Society, (2017)3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management., , , , , , , , and . CVPR, page 13743-13752. Computer Vision Foundation / IEEE, (2021)