Towards predictive diagnosis and management of rotator cuff disease: using curvelet transform for edge detection and segmentation of tissue-Reference-Cited by-同舟云学术

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Towards predictive diagnosis and management of rotator cuff disease: using curvelet transform for edge detection and segmentation of tissue

Published:2016-04-01 Issue: Volume: Page:
ISSN:0277-786X
Container-title:SPIE Proceedings
language:
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Author:

Pai Raikar Vipul¹,Kwartowitz David M.¹

Affiliation:

1. Clemson Univ. (United States)

Publisher

SPIE

Reference15 articles.

1. D. Kwartowitz, E. Trent, F. Mefleh et al., [Devices that cooperate with ultrasound probes for muscoskeletal evaluations and related systems and methods] Clemson University, (2013).

2. Improved apparatus for predictive diagnosis of rotator cuff disease,;Pillai,2014

3. Assessment and Characterization of in situ Rotator Cuff Biomechanics;Trent,2013

4. Ultrasound image segmentation: a survey

Cited by 3 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. Brain Tumor Segmentation Based on Bendlet Transform and Improved Chan-Vese Model;Entropy;2022-08-27

2. Imbalanced Loss-Integrated Deep-Learning-Based Ultrasound Image Analysis for Diagnosis of Rotator-Cuff Tear;Sensors;2021-03-22

3. A fuzzy C-means quantization based automatic extraction of rotator cuff tendon tears from ultrasound images;Journal of Intelligent & Fuzzy Systems;2018-07-27

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