Triaging subjects with palpable breast masses for biopsy, follow-up or treatment using AI applied to breast ultrasound in a low-resource setting - A feasibility study-Reference-Cited by-同舟云学术

Triaging subjects with palpable breast masses for biopsy, follow-up or treatment using AI applied to breast ultrasound in a low-resource setting - A feasibility study

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Ultrasonics Symposium (IUS)
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Author:

Mitra Jhimli¹,Ghose Soumya¹,Ginty Fiona¹,Berg Wendie A.²,Cen Steven³,Larsen Linda H.³,Dauphine Christine⁴,Cho Sanghee¹,Love Susan⁵,Davis Cynthia¹

Affiliation:

1. GE Research,Niskyuna,NY,USA

2. University of Pittsburgh School of Medicine,Magee-Women's Hospital,Pittsburgh,PA,USA

3. Keck School of Medicine, University of Southern California,Los Angeles,CA,USA

4. Harbor-UCLA Medical Center,Dept. of Surgery,Torrance,CA,USA

5. Dr. Susan Love Foundation for Breast Cancer Research,Los Angeles,CA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9957114/9957143/09957209.pdf?arnumber=9957209

Reference27 articles.

1. A comparative study in ultrasound breast imaging classification

2. Texture analysis of lesions in breast ultrasound images

3. Retrieval technique for the diagnosis of solid breast tumors on sonogram

4. Complexity curve and grey level co-occurrence matrix in the texture evaluation of breast tumor on ultrasound images

5. Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology

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