Tissue typing using ultrasound RF time series: Experiments with animal tissue samples-Reference-Cited by-同舟云学术

Tissue typing using ultrasound RF time series: Experiments with animal tissue samples

Published:2010-07-28 Issue:8 Volume:37 Page:4401-4413
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Moradi Mehdi,Abolmaesumi Purang,Mousavi Parvin

Funder

Natural Sciences and Engineering Research Council of Canada

Canadian Institutes of Health Research

Cummings Foundation

Publisher

Wiley

Subject

General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1118/1.3457710/fullpdf

Reference63 articles.

1. Ultrasound image segmentation: A survey;Noble;IEEE Trans. Med. Imaging,2006

2. Clinical evaluation of transrectal power Doppler imaging in the detection of prostate cancer;Inahara;Int. Urol. Nephrol.,2004

3. Computer-aided diagnosis of prostate cancer with emphasis on ultrasound-based approaches: A review;Moradi;Ultrasound Med. Biol.,2007

4. The appearance of prostate cancer on transrectal ultrasonography: Correlation of imaging and pathological examination;Shinohara;J. Urol. (Baltimore),1989

5. MRI is too insensitive to stage early prostate cancer;Khan;Eur. Urol. Suppl.,2003

Cited by 45 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Computer‐Aided Classification of Breast Lesions Based on US RF Time Series Using a Novel Machine Learning Approach;Journal of Ultrasound in Medicine;2024-08-14

2. Assessing the Performance of Foundation Models in Prostate Segmentation Across Different Ultrasound Modalities;2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2024-08-06

3. Evaluating the effect of tissue stimulation at different frequencies on breast lesion classification based on nonlinear features using a novel radio frequency time series approach;Heliyon;2024-07

4. Review of conventional and advanced non-destructive testing techniques for detection and characterization of small-scale defects;Progress in Materials Science;2023-09

5. Temporal enhanced Ultrasound: A new method for detection of porosity defects in composites;Composites Part A: Applied Science and Manufacturing;2023-01