Computational intelligence optimization approach based on particle swarm optimizer and neutrosophic set for abdominal CT liver tumor segmentation

Journal of Computational Science ◽

10.1016/j.jocs.2018.01.003 ◽

2018 ◽

Vol 25 ◽

pp. 376-387 ◽

Cited By ~ 17

Author(s):

Ahmed M. Anter ◽

Aboul Ella Hassenian

Keyword(s):

Liver Tumor ◽

Computational Intelligence ◽

Particle Swarm ◽

Neutrosophic Set ◽

Tumor Segmentation ◽

Optimization Approach ◽

Particle Swarm Optimizer ◽

Abdominal Ct ◽

Liver Tumor Segmentation

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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 ◽

Cited By ~ 9

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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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 ◽

Cited By ~ 6

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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Multi-stage Threshold Method for Liver Tumor Segmentation in CT Scan Images and Its Implementation for FPGA

SSRN Electronic Journal ◽

10.2139/ssrn.3668757 ◽

2020 ◽

Author(s):

Y. Rakesh Kumar ◽

Dr. Chandra Sekhar V ◽

Sravanthi A ◽

B. Sreekanth Reddy

Keyword(s):

Ct Scan ◽

Liver Tumor ◽

Tumor Segmentation ◽

Threshold Method ◽

Multi Stage ◽

Liver Tumor Segmentation

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Liver Tumor Segmentation and Radio Frequency Ablation Treatment Design Based on CT Image

GLOBECOM 2020 - 2020 IEEE Global Communications Conference ◽

10.1109/globecom42002.2020.9322525 ◽

2020 ◽

Author(s):

Lin Ma ◽

Dongxue Su ◽

Danyang Qin

Keyword(s):

Radio Frequency ◽

Liver Tumor ◽

Radio Frequency Ablation ◽

Tumor Segmentation ◽

Ct Image ◽

Liver Tumor Segmentation ◽

Treatment Design

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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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Liver tumor segmentation using a new asymmetrical dilated convolutional semantic segmentation network in CT images

International Journal of Imaging Systems and Technology ◽

10.1002/ima.22663 ◽

2021 ◽

Author(s):

Anisha Arulappan ◽

Ajith Bosco Raj Thankaraj

Keyword(s):

Liver Tumor ◽

Semantic Segmentation ◽

Ct Images ◽

Tumor Segmentation ◽

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

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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OABC: An Otsu-Artificial Bee Colony Multilevel Image Threshold Optimization for Liver Tumor Segmentation

SSRN Electronic Journal ◽

10.2139/ssrn.3889548 ◽

2021 ◽

Author(s):

Zabiha Khan ◽

Ramyam Loganathan

Keyword(s):

Liver Tumor ◽

Artificial Bee Colony ◽

Tumor Segmentation ◽

Bee Colony ◽

Threshold Optimization ◽

Liver Tumor Segmentation

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AutoLiv: Automated Liver Tumor Segmentation in CT Images

2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) ◽

10.1109/icstcee49637.2020.9277076 ◽

2020 ◽

Author(s):

Zabiha Khan ◽

R Loganathan

Keyword(s):

Liver Tumor ◽

Ct Images ◽

Tumor Segmentation ◽

Liver Tumor Segmentation

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