Assessment of volumetric dense tissue segmentation in tomosynthesis using deep virtual clinical trials-Reference-Cited by-同舟云学术

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Assessment of volumetric dense tissue segmentation in tomosynthesis using deep virtual clinical trials

Published:2024-09 Issue: Volume:153 Page:110494
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Barufaldi B.^ORCID,Gomes J.V.^ORCID,Silva Filho T.M.^ORCID,do Rêgo T.G.,Malheiros Y.^ORCID,Vent T.L.,Gastounioti A.^ORCID,Maidment A.D.A.

Funder

Susan G Komen Breast Cancer Foundation

National Cancer Institute

Defense Advanced Research Projects Agency

National Institutes of Health

Burroughs Wellcome Fund

American Association of Physicists in Medicine

U.S. Department of Defense

Terri Brodeur Breast Cancer Foundation

Publisher

Elsevier BV

Reference32 articles.

1. A critical moment in machine learning in medicine: on reproducible and interpretable learning;Ciobanu-Caraus;Acta Neurochir (Wien),2024

2. Mapping ethical artificial intelligence policy landscape: A mixed method analysis;Saheb;Sci. Eng. Ethics,2024

3. EX-ViT: A Novel explainable vision transformer for weakly supervised semantic segmentation;Yu;Pattern Recognit.,2023

4. Data-centric perspective on explainability versus performance trade-off;Berenji,2023

5. Virtual clinical trials in medical imaging: A review;Abadi;J. Med. Imaging (Bellingham),2020

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