Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) ◽

10.1109/isbi.2016.7493296 ◽

2016 ◽

Author(s):

P.-H. Conze ◽

V Noblet ◽

F. Rousseau ◽

F. Heitz ◽

R. Memeo ◽

...

Keyword(s):

Random Forests ◽

Ct Scans ◽

Tumor Segmentation ◽

Multi Scale ◽

Dynamic Contrast Enhanced ◽

Contrast Enhanced Ct ◽

Contrast Enhanced ◽

Enhanced Ct ◽

Liver Tumor Segmentation ◽

Dynamic Contrast Enhanced Ct

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Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans

International Journal of Computer Assisted Radiology and Surgery ◽

10.1007/s11548-016-1493-1 ◽

2016 ◽

Vol 12 (2) ◽

pp. 223-233 ◽

Author(s):

Pierre-Henri Conze ◽

Vincent Noblet ◽

François Rousseau ◽

Fabrice Heitz ◽

Vito de Blasi ◽

...

Keyword(s):

Random Forests ◽

Liver Tumor ◽

Ct Scans ◽

Tumor Segmentation ◽

Dynamic Contrast Enhanced ◽

Contrast Enhanced Ct ◽

Contrast Enhanced ◽

Enhanced Ct ◽

Liver Tumor Segmentation ◽

Dynamic Contrast Enhanced Ct

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Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels

Machine Learning in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-319-24888-2_26 ◽

2015 ◽

pp. 212-219 ◽

Author(s):

Pierre-Henri Conze ◽

François Rousseau ◽

Vincent Noblet ◽

Fabrice Heitz ◽

Riccardo Memeo ◽

...

Keyword(s):

Random Forests ◽

Liver Tumor ◽

Ct Scans ◽

Tumor Segmentation ◽

Dynamic Contrast Enhanced ◽

Contrast Enhanced Ct ◽

Contrast Enhanced ◽

Enhanced Ct ◽

Liver Tumor Segmentation ◽

Dynamic Contrast Enhanced Ct

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Predicting tumor hypoxia in non-small cell lung cancer by combining CT, FDG PET and dynamic contrast-enhanced CT

Acta Oncologica ◽

10.1080/0284186x.2017.1349332 ◽

2017 ◽

Vol 56 (11) ◽

pp. 1591-1596 ◽

Author(s):

Aniek J. G. Even ◽

Bart Reymen ◽

Matthew D. La Fontaine ◽

Marco Das ◽

Arthur Jochems ◽

...

Keyword(s):

Lung Cancer ◽

Fdg Pet ◽

Tumor Hypoxia ◽

Small Cell Lung ◽

Dynamic Contrast Enhanced ◽

Contrast Enhanced Ct ◽

Contrast Enhanced ◽

Enhanced Ct ◽

Dynamic Contrast Enhanced Ct

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Feasibility of Measurement of Pancreatic Perfusion Parameters with Single-Compartment Kinetic Model Applied to Dynamic Contrast-enhanced CT Images

Radiology ◽

10.1148/radiol.2492080026 ◽

2008 ◽

Vol 249 (3) ◽

pp. 878-882 ◽

Author(s):

Robert G. Sheiman ◽

Arkadiusz Sitek

Keyword(s):

Kinetic Model ◽

Ct Images ◽

Dynamic Contrast Enhanced ◽

Single Compartment ◽

Contrast Enhanced Ct ◽

Contrast Enhanced ◽

Enhanced Ct ◽

Pancreatic Perfusion ◽

Dynamic Contrast Enhanced Ct

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Feasibility of Single-Input Tracer Kinetic Modeling with Continuous-Time Formalism in Liver 4-Phase Dynamic Contrast-Enhanced CT

Lecture Notes in Computer Science - Abdominal Imaging. Computational and Clinical Applications ◽

10.1007/978-3-319-13692-9_6 ◽

2014 ◽

pp. 62-73

Author(s):

Sang Ho Lee ◽

Yasuji Ryu ◽

Koichi Hayano ◽

Hiroyuki Yoshida

Keyword(s):

Continuous Time ◽

Phase Dynamic ◽

Dynamic Contrast Enhanced ◽

Contrast Enhanced Ct ◽

Contrast Enhanced ◽

Enhanced Ct ◽

Time Formalism ◽

Tracer Kinetic ◽

Single Input ◽

Dynamic Contrast Enhanced Ct

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Pilot study of combined FDG-PET and dynamic contrast-enhanced CT of locally advanced cervical carcinoma before and during concurrent chemoradiotherapy suggests association between changes in tumor blood volume and treatment response

Cancer Medicine ◽

10.1002/cam4.1632 ◽

2018 ◽

Vol 7 (8) ◽

pp. 3642-3651 ◽

Author(s):

Thomas I. Banks ◽

Rie von Eyben ◽

Dimitre Hristov ◽

Elizabeth A. Kidd

Keyword(s):

Pilot Study ◽

Fdg Pet ◽

Concurrent Chemoradiotherapy ◽

Locally Advanced ◽

Dynamic Contrast Enhanced ◽

Contrast Enhanced Ct ◽

Advanced Cervical Carcinoma ◽

Contrast Enhanced ◽

Enhanced Ct ◽

Dynamic Contrast Enhanced Ct

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Hypervascular hepatic focal lesions on dynamic contrast-enhanced CT: preliminary data from arterial phase scans texture analysis for classification

Clinical Radiology ◽

10.1016/j.crad.2019.05.010 ◽

2019 ◽

Vol 74 (8) ◽

pp. 653.e11-653.e18 ◽

Author(s):

S. Song ◽

Z. Li ◽

L. Niu ◽

X. Zhou ◽

G. Wang ◽

...

Keyword(s):

Texture Analysis ◽

Preliminary Data ◽

Arterial Phase ◽

Focal Lesions ◽

Dynamic Contrast Enhanced ◽

Contrast Enhanced Ct ◽

Contrast Enhanced ◽

Enhanced Ct ◽

Dynamic Contrast Enhanced Ct

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Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study

Radiology ◽

10.1148/radiol.2017170706 ◽

2018 ◽

Vol 286 (3) ◽

pp. 887-896 ◽

Author(s):

Koichiro Yasaka ◽

Hiroyuki Akai ◽

Osamu Abe ◽

Shigeru Kiryu

Keyword(s):

Neural Network ◽

Deep Learning ◽

Convolutional Neural Network ◽

Dynamic Contrast Enhanced ◽

Contrast Enhanced Ct ◽

Contrast Enhanced ◽

Enhanced Ct ◽

Preliminary Study ◽

Dynamic Contrast Enhanced Ct

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DYNAMIC CONTRAST-ENHANCED CT AND -MRI OF PROSTATE CANCER; PERFUSION, PERMEABILITY AND TUMOR DELINEATION

Radiotherapy and Oncology ◽

10.1016/s0167-8140(12)72884-0 ◽

2009 ◽

Vol 92 ◽

pp. S112

Author(s):

U. van der Heide ◽

M. van Vulpen

Keyword(s):

Prostate Cancer ◽

Tumor Delineation ◽

Dynamic Contrast Enhanced ◽

Contrast Enhanced Ct ◽

Contrast Enhanced ◽

Enhanced Ct ◽

Dynamic Contrast Enhanced Ct ◽

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Variations of quantitative perfusion measurement on dynamic contrast enhanced CT for colorectal cancer: implication of standardized image protocol

Physics in Medicine and Biology ◽

10.1088/1361-6560/aacb99 ◽

2018 ◽

Vol 63 (16) ◽

pp. 165009 ◽

Author(s):

Tianye Niu ◽

Pengfei Yang ◽

Xiaonan Sun ◽

Tingyu Mao ◽

Lei Xu ◽

...

Keyword(s):

Colorectal Cancer ◽

Quantitative Perfusion ◽

Perfusion Measurement ◽

Dynamic Contrast Enhanced ◽

Contrast Enhanced Ct ◽

Contrast Enhanced ◽

Enhanced Ct ◽

Dynamic Contrast Enhanced Ct

Download Full-text