Ultrasound tissue characterization based on the Lempel–Ziv complexity with application to breast lesion classification-Reference-Cited by-同舟云学术

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Ultrasound tissue characterization based on the Lempel–Ziv complexity with application to breast lesion classification

Published:2019-05 Issue: Volume:51 Page:235-242
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Steifer Tomasz,Lewandowski Marcin

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference44 articles.

1. Quantitative Ultrasound in Soft Tissues;Mamou,2013

2. On the complexity of finite sequences;Lempel;IEEE Trans. Inform. Theory,1976

3. Compression of individual sequences via variable-rate coding;Ziv;IEEE Trans. Inform. Theory,1978

4. The similarity metric;Li;IEEE Trans. Inform. Theory,2004

5. Normalized Lempel–Ziv complexity and its application in bio-sequence analysis;Zhang;J. Math. Chem.,2009

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1. Driver state recognition with physiological signals: Based on deep feature fusion and feature selection techniques;Biomedical Signal Processing and Control;2024-07

2. Optimal fusion of features from decomposed ultrasound RF data with adaptive weighted ensemble classifier to improve breast lesion classification;Image and Vision Computing;2024-06

3. Breast cancer classification based on convolutional neural network and image fusion approaches using ultrasound images;Heliyon;2023-11

4. A Study on a Parameter Estimator for the Homodyned K Distribution Based on Table Search for Ultrasound Tissue Characterization;Ultrasound in Medicine & Biology;2023-04

5. Quantitative assessment for characterization of breast lesion tissues using adaptively decomposed ultrasound RF images;Biomedical Signal Processing and Control;2022-05

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