Improvement of Liver Segmentation by Combining High Order Statistical Texture Features with Anatomical Structural Features

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Engineering

ISSN Print: 1947-3931
ISSN Online: 1947-394X
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"Improvement of Liver Segmentation by Combining High Order Statistical Texture Features with Anatomical Structural Features"
written by Suhuai Luo, Xuechen Li, Jiaming Li,
published by Engineering, Vol.5 No.5B, 2013

has been cited by the following article(s):

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[1]	A Survey on Various Medical Image Classification and Feature Recognition Techniques
	… on Trends in …, 2022

[2]	A Comprehensive Review of Medical Image Analysis Techniques for Liver Disorders
	Journal of Electrical Engineering, 2020

[3]	Automatic Liver and Tumor Segmentation from CT Scan Images using Gabor Feature and Machine Learning Algorithms
	2018

[4]	Liver segmentation using 3D CT scans.
	2018

[5]	Segmentation of Liver Tumor for Computer Aided Diagnosis
	2018

[6]	A study of the phases of classification of liver diseases from ultrasound images and gray level difference weights based segmentation
	2017

[7]	3D liver segmentation from abdominal computed tomography scans based on a novel level set model
	2017

[8]	Desarrollo de algoritmos de procesamiento de imagen avanzado para interpretación de imágenes médicas. Aplicación a segmentación de hígado sobre imágenes …
	2016

[9]	Desarrollo de algoritmos de procesamiento de imagen avanzado para interpretación de imágenes médicas. Aplicación a segmentación de hígado sobre imágenes de Resonancia Magnética multisecuencia
	Thesis, 2016

[10]	Segmentation of Liver from images of Visceral Organs through Automatic Processing–A review
	2016

[11]	AModified DISTANCE REGULARIZED LEVEL SET MODEL FOR LIVER SEGMENTATION FROM CT IMAGES
	2015

[12]	Multiple Organ Identification System using Signature Quadratic Form Distance for Effective Radiotherapy
	Current Medical Imaging Reviews, 2015

[13]	3D Liver Segmentation from CT Images Using a Level Set Method Based on a Shape and Intensity Distribution Prior
	International Journal of Computer and Information Engineering, 2015

[14]	A MODIFIED DISTANCE REGULARIZED LEVEL SET MODEL FOR LIVER SEGMENTATION FROM CT IMAGES
	Signal & Image Processing, 2015

[15]	Review on the Methods of Automatic Liver Segmentation from Abdominal Images
	Journal of Computer and Communications, 2014

[1]	A Survey on Various Medical Image Classification and Feature Recognition Techniques 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI), 2022 DOI:10.1109/ICOEI53556.2022.9777207

[2]	Segmentation of Liver Tumor for Computer Aided Diagnosis 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2018 DOI:10.1109/IECBES.2018.8626682

[3]	A study of the phases of classification of liver diseases from ultrasound images and gray level difference weights based segmentation 2017 International Conference on Communication and Signal Processing (ICCSP), 2017 DOI:10.1109/ICCSP.2017.8286655

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