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ORCIDComputerized Medical Imaging and Graphics, Volume 69
Volume 69, November 2018
- Ruoxiu Xiao, Hui Ding, Fangwen Zhai, Wenjing Zhou, Guangzhi Wang
:
Cerebrovascular segmentation of TOF-MRA based on seed point detection and multiple-feature fusion. 1-8
- Tuo Zhang, Jun Kong, Ke Jing, Hanbo Chen, Xi Jiang, Longchuan Li, Lei Guo, Jianfeng Lu, Xiaoping Hu, Tianming Liu:
Optimization of macaque brain DMRI connectome by neuron tracing and myelin stain data. 9-20 - Amal Rannen Triki, Matthew B. Blaschko, Yoon Mo Jung, Seungri Song, Hyun Ju Han, Seung Il Kim, Chulmin Joo:
Intraoperative margin assessment of human breast tissue in optical coherence tomography images using deep neural networks. 21-32
- Younghak Shin, Ilangko Balasingham:
Automatic polyp frame screening using patch based combined feature and dictionary learning. 33-42
- José V. Manjón, Pierrick Coupé, Parnesh Raniga, Ying Xia, Patricia M. Desmond, Jurgen Fripp, Olivier Salvado:
MRI white matter lesion segmentation using an ensemble of neural networks and overcomplete patch-based voting. 43-51 - Gerard Sanroma, Oualid M. Benkarim, Gemma Piella, Karim Lekadir, Nadine Hahner, Elisenda Eixarch, Miguel Ángel González Ballester:
Learning to combine complementary segmentation methods for fetal and 6-month infant brain MRI segmentation. 52-59
- Bejoy Abraham, Madhu S. Nair:
Computer-aided classification of prostate cancer grade groups from MRI images using texture features and stacked sparse autoencoder. 60-68 - S. Ali Melli, Khan A. Wahid, Paul S. Babyn, David Cooper, Ahmed M. Hasan:
A wavelet gradient sparsity based algorithm for reconstruction of reduced-view tomography datasets obtained with a monochromatic synchrotron-based X-ray source. 69-81 - Fung Fung Ting, Kok Swee Sim, Chee Peng Lim:
Case-control comparison brain lesion segmentation for early infarct detection. 82-95
- Junjie Bai, Abhay Shah, Xiaodong Wu:
Optimal multi-object segmentation with novel gradient vector flow based shape priors. 96-111
- Peng Cao, Fulong Ren, Chao Wan, Jinzhu Yang, Osmar R. Zaïane:
Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis. 112-124
- Jiayun Li, William Speier, King Chung Ho, Karthik V. Sarma, Arkadiusz Gertych, Beatrice S. Knudsen, Corey W. Arnold:
An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies. 125-133 - Rachel B. Ger, Daniel F. Craft, Dennis S. Mackin, Shouhao Zhou, Rick R. Layman, A. Kyle Jones, Hesham Elhalawani, Clifton D. Fuller, Rebecca M. Howell, Heng Li, R. Jason Stafford, Laurence E. Court:
Practical guidelines for handling head and neck computed tomography artifacts for quantitative image analysis. 134-139
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