Semi-automatic liver tumor segmentation with hidden Markov measure field model and non-parametric distribution estimation

Keywords

Segmentation, Artificial intelligence, Computer science, Parametric statistics, Pattern recognition (psychology)

References

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Cited by

• Higher-Order CRF Tumor Segmentation with Discriminant Manifold PotentialsSamuel Kadoury, Nadine Abi‐Jaoudeh, Pablo A. Valdés — 2013
• Data and feature mixed ensemble based extreme learning machine for medical object detection and segmentationWanzheng Zhu, Weimin Huang, Zhiping Lin — 2015
• Segmentation of cancerous regions in liver using an edge-based and phase congruent region enhancement methodGaurav Sethi, Barjinder Singh Saini, Dilbag Singh — 2016
• Improved maximally stable extremal regions based method for the segmentation of ultrasonic liver imagesHaijiang Zhu, Junhui Sheng, Fan Zhang — 2016
• SEGMENTATION OF ABDOMEN DISEASES USING ACTIVE CONTOUR MODELS IN CT IMAGESGaurav Sethi, Barjinder Singh Saini — 2015
• Tumor Burden Analysis on Computed Tomography by Automated Liver and Tumor SegmentationMarius George Linguraru, William J. Richbourg, Jianfei Liu — 2012
• Soft-tissues Image Processing: Comparison of Traditional Segmentation Methods with 2D active Contour MethodsJan Mikulka, E. Gescheidtová, K. Bartušek — 2012
• Image Processing Tool Promoting Decision-Making in Liver Surgery of Patients with Chronic Kidney DiseaseKristina Bliznakova, Nikola Kolev, Zhivko Bliznakov — 2014
• Robust automated detection, segmentation, and classification of hepatic tumors from CT dataMarius George Linguraru, William J. Richbourg, Vivek Pamulapati — 2012
• Adaptive Quantification and Longitudinal Analysis of Pulmonary Emphysema with a Hidden Markov Measure Field ModelYrjö Häme, Elsa D. Angelini, Eric A. Hoffman — 2014
• An enhanced version of ITK-SNAP for preoperative inspection and refinement of surface mesh modelsMikko Lilja — 2011
• Robust quantification of pulmonary emphysema with a Hidden Markov Measure Field modelYrjö Häme, Elsa D. Angelini, Eric A. Hoffman — 2013
• Computer-aided hepatocellular carcinoma analysisJing Zhang, Ling He, Qi Liu — 2013
• Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithmDago Pacôme Onoma, Su Ruan, S. Thureau — 2014
• Interactive Volumetry Of Liver Ablation ZonesJan Egger, Harald Busse, Philipp Brandmaier — 2015
• Tumor Sensitive Matching Flow: A Variational Method to Detecting and Segmenting Perihepatic and Perisplenic Ovarian Cancer Metastases on Contrast-Enhanced Abdominal CTJianfei Liu, Shijun Wang, Marius George Linguraru — 2014
• Optimal Edge Perservation in Volume Rendering Using Canny Edge DetectorN. Revathy, Srinivasan Janarthanam, T. Karthikeyan — 2013
• Metastatic liver tumour segmentation from discriminant Grassmannian manifoldsSamuel Kadoury, Eugene Vorontsov, An Tang — 2015
• Segmentation of liver tumor via nonlocal active contoursBin Chen, Yang Chen, Guanyu Yang — 2015
• A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training dataMichael Goetz, Eric Heim, Keno Maerz — 2016

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