IEEE Transactions on Medical Imaging· 2016Q1
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
- 5,813citations
- Q1SCImago
- 2016year
Short summary
This paper investigates how CNN architecture, dataset size, and transfer learning from natural images impact computer-aided detection (CADe) in medical imaging, achieving state-of-the-art results on lymph node detection.
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Radiology, Nuclear Medicine and ImagingMedicine