Ultrasound Despeckling With GANs and Cross Modality Transfer Learning-Reference-Cited by-同舟云学术

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Ultrasound Despeckling With GANs and Cross Modality Transfer Learning

Published:2024 Issue: Volume:12 Page:45811-45823
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Vieira Diogo Fróis¹^ORCID,Raposo Afonso¹^ORCID,Azeitona António¹,Afonso Manya V.²^ORCID,Pedro Luís Mendes³^ORCID,Sanches J.¹^ORCID

Affiliation:

1. Department of Bioengineering, Institute for Systems and Robotics, LARSyS, Instituto Superior Técnico, LARSyS, Lisbon, Portugal

2. Wageningen University and Research, Wageningen, PB, The Netherlands

3. Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal

Funder

I-CARD Project

Laboratory of Robotics and Engineering Systems (LARSyS) Funding

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10478899.pdf?arnumber=10478899

Reference40 articles.

1. Modeling the amplitude statistics of ultrasonic images

2. Despeckling of medical ultrasound images

3. Ultrasound image segmentation: a survey

4. Modeling log-compressed ultrasound images for radio frequency signal recovery

5. A 3D Graph-Cut based Algorithm for Evaluating Carotid Plaque Echogenicity and Texture

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