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Prior-Based Coregistration and Cosegmentation [chapter]

Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas, Sarah Lippé, Samuel Kadoury, Iasonas Kokkinos, Nikos Paragios
2016 Lecture Notes in Computer Science  
We propose a modular and scalable framework for dense coregistration and cosegmentation with two key characteristics: first, we substitute ground truth data with the semantic map output of a classifier  ...  Our approach deforms all volumes towards consensus, taking into account image similarities and label consistency. Our pipeline can incorporate any classifier and similarity metric.  ...  Problem formulation using segmentation priors We formulate our coregistration and cosegmentation algorithm as an energy minimization problem.  ... 
doi:10.1007/978-3-319-46723-8_61 fatcat:ommhkeaafjhe7opwagh2fsay3u

Prior-based Coregistration and Cosegmentation [article]

Mahsa Shakeri, Sarah Lippe, Nikos Paragios CVN, CentraleSupelec-Inria, Universite Paris-Saclay, France, University of Montreal, Canada
2016 arXiv   pre-print
We propose a modular and scalable framework for dense coregistration and cosegmentation with two key characteristics: first, we substitute ground truth data with the semantic map output of a classifier  ...  Our approach deforms all volumes towards consensus, taking into account image similarities and label consistency. Our pipeline can incorporate any classifier and similarity metric.  ...  Problem formulation using segmentation priors We formulate our coregistration and cosegmentation algorithm as an energy minimization problem.  ... 
arXiv:1607.06787v1 fatcat:frgkm5ckafdzdhwyrtkwzi444m

Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on 68Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods

Lina Xu, Giles Tetteh, Jana Lipkova, Yu Zhao, Hongwei Li, Patrick Christ, Marie Piraud, Andreas Buck, Kuangyu Shi, Bjoern H. Menze
2018 Contrast Media & Molecular Imaging  
Two convolutional neural networks (CNNs), V-Net and W-Net, were adopted to segment and detect the lesions.  ...  The preliminary results showed that deep learning method can leverage multimodal information for spatial feature representation, and W-Net obtained the best result for segmentation and lesion detection  ...  In [30] [31] [32] [33] Markov Random Field (MRF) and graph-cut based methods were integrated to encode shape and context priors into the model.  ... 
doi:10.1155/2018/2391925 pmid:29531504 pmcid:PMC5817261 fatcat:iq2cfq63szdebiay7gwi7uskli