Multiclass Segmentation of Breast Tissue and Suspicious Findings: A Simulation-Based Study for the Development of Self-Steering Tomosynthesis.

Journal Information

Full Title: Tomography

Abbreviation: Tomography

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Diagnostic Imaging

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
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Evidence found in paper:

"Conflicts of Interest A.D.A.M. and R.J.A. are inventors of patents and patent applications related to next-generation tomosynthesis technology. A.D.A.M. reports research support from Hologic, Inc., Barco nv, and Analogic Corporation; is a spouse to an employee and stockholder of Real Time Tomography (RTT), LLC; is a member of the scientific advisory board of RTT; and is an owner of Daimroc Imaging, LLC. The other authors have no relevant conflicts of interest to disclose. These vendors had no role in the design of the study; the collection, analysis, or interpretation of the data; the writing of the manuscript; or the decision to submit the manuscript for publication. B.B., Y.N.G.d.N., G.C., J.P.V.T., T.M.S.F., T.G.d.R., and Y.M. declare no competing interests."

Evidence found in paper:

"This research was funded by the Terri Brodeur Breast Cancer Foundation; the American Association of Physicists in Medicine, 2020 Research Seed Funding grant; Breast Cancer Alliance, Inc., 2022 Young Investigator grant; the Department of Defense Breast Cancer Research Program, grant number W81XWH-18-1-0082; the Burroughs Wellcome Fund, grant number IRSA 1016451; and the National Institutes of Health, grant number P30CA016520. The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies."

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Open Access
Paper is freely available to read
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Last Updated: Aug 05, 2025