Deep Learning for Medical Image Analysis: Applications to Computed Tomography and Magnetic Resonance Imaging
Open Access
- 1 January 2017
- journal article
- Published by Hanyang University College of Medicine (KAMJE) in Hanyang Medical Reviews
- Vol. 37 (2), 61-70
- https://doi.org/10.7599/hmr.2017.37.2.61
Abstract
No abstract availableThis publication has 29 references indexed in Scilit:
- Convolutional networks for kidney segmentation in contrast-enhanced CT scansComputer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2016
- Deep similarity learning for multimodal medical imagesComputer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2016
- Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer LearningIEEE Transactions on Medical Imaging, 2016
- Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion SegmentationIEEE Transactions on Medical Imaging, 2016
- A CNN Regression Approach for Real-Time 2D/3D RegistrationIEEE Transactions on Medical Imaging, 2016
- U-Net: Convolutional Networks for Biomedical Image SegmentationPublished by Springer Science and Business Media LLC ,2015
- Mitosis Detection in Breast Cancer Histology Images with Deep Neural NetworksPublished by Springer Science and Business Media LLC ,2013
- Extraction of Airways From CT (EXACT'09)IEEE Transactions on Medical Imaging, 2012
- Content-Based Image Retrieval in Radiology: Current Status and Future DirectionsJournal of Digital Imaging, 2010
- Computer‐aided detection of mammographic microcalcifications: Pattern recognition with an artificial neural networkMedical Physics, 1995