3D Context Enhanced Region-Based Convolutional Neural Network for End-to-End Lesion Detection
- 26 September 2018
- book chapter
- Published by Springer Nature
- p. 511-519
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This publication has 7 references indexed in Scilit:
- Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database2018
- Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks2017
- Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks2017
- Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule DetectionIEEE Transactions on Biomedical Engineering, 2016
- Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer LearningIEEE Transactions on Medical Imaging, 2016
- Improving Computer-Aided Detection UsingConvolutional Neural Networks and Random View AggregationIEEE Transactions on Medical Imaging, 2015
- ImageNet: A large-scale hierarchical image database2009