Automatic magnetic resonance prostate segmentation by deep learning with holistically nested networks
暂无分享,去创建一个
Nathan Lay | Baris Turkbey | Le Lu | Ruida Cheng | William Gandler | Evan S. McCreedy | Ronald M Summers | Matthew J McAuliffe | Holger R Roth | Evan S McCreedy | Tom Pohida | Peter A Pinto | Peter Choyke | P. Choyke | H. Roth | Le Lu | R. Summers | P. Pinto | B. Turkbey | T. Pohida | Nathan S. Lay | M. McAuliffe | W. Gandler | Ruida Cheng
[1] M. Habes,et al. Automated prostate segmentation in whole-body MRI scans for epidemiological studies , 2013, Physics in medicine and biology.
[2] Nacim Betrouni,et al. Gland and Zonal Segmentation of Prostate on T2W MR Images , 2016, Journal of Digital Imaging.
[3] Ferdi van der Heijden,et al. A new prostate segmentation approach using multispectral magnetic resonance imaging and a statistical pattern classifier , 2012, Medical Imaging.
[4] Bjarne K. Ersbøll,et al. FAME-a flexible appearance modeling environment , 2003, IEEE Transactions on Medical Imaging.
[5] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[6] Ronald M. Summers,et al. Active appearance model and deep learning for more accurate prostate segmentation on MRI , 2016, SPIE Medical Imaging.
[7] Florian Jung,et al. Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge , 2014, Medical Image Anal..
[8] Matthew J. McAuliffe,et al. Medical Image Processing, Analysis and Visualization in clinical research , 2001, Proceedings 14th IEEE Symposium on Computer-Based Medical Systems. CBMS 2001.
[9] Stefan Klein,et al. Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information. , 2008, Medical physics.
[10] Ronald M. Summers,et al. Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images , 2016, MICCAI.
[11] Jesper Carl,et al. The use of atlas registration and graph cuts for prostate segmentation in magnetic resonance images. , 2015, Medical physics.
[12] Joachim Weickert,et al. Coherence-Enhancing Diffusion Filtering , 1999, International Journal of Computer Vision.
[13] Anant Madabhushi,et al. Multifeature Landmark-Free Active Appearance Models: Application to Prostate MRI Segmentation , 2012, IEEE Transactions on Medical Imaging.
[14] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Hao Chen,et al. Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images , 2017, AAAI.
[16] Fang Zhang,et al. Deep convolutional activation features for large scale Brain Tumor histopathology image classification and segmentation , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[17] Fabrice Mériaudeau,et al. Texture Guided Active Appearance Model Propagation for Prostate Segmentation , 2010, Prostate Cancer Imaging.
[18] Allan Hanbury,et al. Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool , 2015, BMC Medical Imaging.
[19] Yaozong Gao,et al. Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching , 2016, IEEE Transactions on Medical Imaging.
[20] Baris Turkbey,et al. Fully automated prostate segmentation in 3D MR based on normalized gradient fields cross-correlation initialization and LOGISMOS refinement , 2012, Medical Imaging.
[21] Shu Liao,et al. Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation , 2013, MICCAI.
[22] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.