Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases.
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Lars Edenbrandt | Johannes Ulén | Olof Enqvist | Elin Trägårdh | May Sadik | Reza Kaboteh | Jane Simonsen | Olof Enqvist | L. Edenbrandt | Sarah Lindgren Belal | May Sadik | Reza Kaboteh | Johannes Ulén | M. H. Poulsen | J. Simonsen | P. Høilund-Carlsen | E. Trägårdh | Sarah Lindgren Belal | Mads H. Poulsen | Poul F. Høilund-Carlsen | O. Enqvist | J. Ulén
[1] Eliot L Siegel,et al. Reinventing Radiology: Big Data and the Future of Medical Imaging , 2018, Journal of thoracic imaging.
[2] K. Dreyer,et al. When Machines Think: Radiology's Next Frontier. , 2017, Radiology.
[3] Hao Chen,et al. 3D deeply supervised network for automated segmentation of volumetric medical images , 2017, Medical Image Anal..
[4] Yongsheng Song,et al. Prognostic value of bone scan index as an imaging biomarker in metastatic prostate cancer: a meta-analysis , 2017, Oncotarget.
[5] Jens Eickhoff,et al. Quantitative Assessment of Early [18F]Sodium Fluoride Positron Emission Tomography/Computed Tomography Response to Treatment in Men With Metastatic Prostate Cancer to Bone. , 2017, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[6] B. Erickson,et al. Machine Learning for Medical Imaging. , 2017, Radiographics : a review publication of the Radiological Society of North America, Inc.
[7] F. Kahl,et al. 3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer , 2017, EJNMMI Research.
[8] F. Kahl,et al. 3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer , 2017, EJNMMI Research.
[9] Oliver Sartor,et al. Trial Design and Objectives for Castration-Resistant Prostate Cancer: Updated Recommendations From the Prostate Cancer Clinical Trials Working Group 3. , 2016, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[10] B. Hobbs,et al. Determination of Skeletal Tumor Burden on 18F-Fluoride PET/CT , 2015, The Journal of Nuclear Medicine.
[11] P. Fox,et al. Prognostic Factors in Patients Treated with 223Ra: The Role of Skeletal Tumor Burden on Baseline 18F-Fluoride PET/CT in Predicting Overall Survival , 2015, The Journal of Nuclear Medicine.
[12] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[13] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] M. H. Poulsen,et al. Spine metastases in prostate cancer: comparison of technetium‐99m‐MDP whole‐body bone scintigraphy, [18F]choline positron emission tomography(PET)/computed tomography (CT) and [18F]NaF PET/CT , 2014, BJU international.
[15] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[16] Mattias Ohlsson,et al. A novel automated platform for quantifying the extent of skeletal tumour involvement in prostate cancer patients using the Bone Scan Index. , 2012, European urology.
[17] Changyin Wang,et al. Study on the distribution features of bone metastases in prostate cancer , 2012, Nuclear medicine communications.
[18] Neeraj Sharma,et al. Automated medical image segmentation techniques , 2010, Journal of medical physics.
[19] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[20] Lars Edenbrandt,et al. Quality of planar whole-body bone scan interpretations—a nationwide survey , 2008, European Journal of Nuclear Medicine and Molecular Imaging.
[21] D. Altman,et al. Measuring agreement in method comparison studies , 1999, Statistical methods in medical research.
[22] S M Larson,et al. A new parameter for measuring metastatic bone involvement by prostate cancer: the Bone Scan Index. , 1998, Clinical cancer research : an official journal of the American Association for Cancer Research.
[23] L. R. Dice. Measures of the Amount of Ecologic Association Between Species , 1945 .