Impact of Transfer Learning Using Local Data on Performance of a Deep Learning Model for Screening Mammography-Reference-Cited by-同舟云学术

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Impact of Transfer Learning Using Local Data on Performance of a Deep Learning Model for Screening Mammography

Published:2024-07-01 Issue:4 Volume:6 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Condon James J. J.¹,Trinh Vincent¹^ORCID,Hall Kelly A.¹^ORCID,Reintals Michelle¹^ORCID,Holmes Andrew S.¹^ORCID,Oakden-Rayner Lauren¹,Palmer Lyle J.¹^ORCID

Affiliation:

1. From the Australian Institute for Machine Learning (J.J.J.C., V.T., L.O.R., L.J.P.) and School of Public Health (J.J.J.C., V.T., K.A.H., L.O.R., L.J.P.), University of Adelaide, N Terrace, Adelaide, South Australia 5005, Australia; and BreastScreen SA, Adelaide, South Australia, Australia (M.R., A.S.H.).

Publisher

Radiological Society of North America (RSNA)

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.230383

Reference32 articles.

1. Quality of life outcomes in patients with breast cancer

2. Diagnostic Delay in Breast Cancer: Correlation with Disease Stage and Prognosis

3. The Gothenburg Breast Screening Trial

Cited by 1 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. Navigating Clinical Variability: Transfer Learning’s Impact on Imaging Model Performance;Radiology: Artificial Intelligence;2024-07-01

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