A Multi-Scale and Multi-Resolution Approach for Liver Tumor Segmentation in CT Scans

Mapping Intimacies ◽

10.1145/3484424.3484431 ◽

2021 ◽

Author(s):

Adil Orazbayev ◽

Huer Wen

Keyword(s):

Liver Tumor ◽

Ct Scans ◽

Tumor Segmentation ◽

Multi Scale ◽

Liver Tumor Segmentation

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Liver tumor segmentation using 2.5D UV-Net with multi-scale convolution

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2021.104424 ◽

2021 ◽

pp. 104424

Author(s):

C. Zhang ◽

Q.-Q. Hua ◽

Y.-Y. Chu ◽

P.-W. Wang

Keyword(s):

Liver Tumor ◽

Tumor Segmentation ◽

Multi Scale ◽

Liver Tumor Segmentation

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MPA-Net: Multi-scale Pyramid Attention network for Liver Tumor Segmentation

10.1109/eiecs53707.2021.9588079 ◽

2021 ◽

Author(s):

Hongfeng Tian ◽

Bai Ji ◽

Wei Quan ◽

Jun Qin

Keyword(s):

Liver Tumor ◽

Tumor Segmentation ◽

Attention Network ◽

Multi Scale ◽

Liver Tumor Segmentation

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Automatic liver tumor segmentation from CT scans with knowledge-based constraints

2010 5th Cairo International Biomedical Engineering Conference ◽

10.1109/cibec.2010.5716054 ◽

2010 ◽

Author(s):

N H Abdel-massieh ◽

M M Hadhoud ◽

K M Amin

Keyword(s):

Liver Tumor ◽

Ct Scans ◽

Tumor Segmentation ◽

Knowledge Based ◽

Liver Tumor Segmentation

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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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A novel fully automatic technique for liver tumor segmentation from CT scans with knowledge-based constraints

2010 10th International Conference on Intelligent Systems Design and Applications ◽

10.1109/isda.2010.5687080 ◽

2010 ◽

Author(s):

Nader H. Abdel-massieh ◽

Mohiy M. Hadhoud ◽

Khalid M. Amin

Keyword(s):

Liver Tumor ◽

Ct Scans ◽

Tumor Segmentation ◽

Knowledge Based ◽

Fully Automatic ◽

Liver Tumor Segmentation ◽

Automatic Technique

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Fully automatic liver tumor segmentation from abdominal CT scans

The 2010 International Conference on Computer Engineering & Systems ◽

10.1109/icces.2010.5674853 ◽

2010 ◽

Author(s):

Nader H. Abdel-massieh ◽

Mohiy M. Hadhoud ◽

Khalid M. Amin

Keyword(s):

Liver Tumor ◽

Ct Scans ◽

Tumor Segmentation ◽

Abdominal Ct ◽

Fully Automatic ◽

Liver Tumor Segmentation

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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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Statistical Parameter-based Automatic Liver Tumor Segmentation from Abdominal CT Scans: A Potiential Radiomic Signature

Procedia Computer Science ◽

10.1016/j.procs.2016.07.232 ◽

2016 ◽

Vol 93 ◽

pp. 446-452 ◽

Author(s):

Y. Rakesh Kumar ◽

N. Moorthy Muthukrishnan ◽

Abhishek Mahajan ◽

P. Priyanka ◽

G. Padmavathi ◽

...

Keyword(s):

Liver Tumor ◽

Statistical Parameter ◽

Ct Scans ◽

Tumor Segmentation ◽

Abdominal Ct ◽

Liver Tumor Segmentation

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Interactive liver tumor segmentation from ct scans using support vector classification with watershed

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2011.6091484 ◽

2011 ◽

Author(s):

Xing Zhang ◽

Jie Tian ◽

Dehui Xiang ◽

Xiuli Li ◽

Kexin Deng

Keyword(s):

Liver Tumor ◽

Ct Scans ◽

Support Vector ◽

Tumor Segmentation ◽

Liver Tumor Segmentation

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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

Download Full-text