Radiology Resident Mammography Training

Author:

Grimm Lars J.,Kuzmiak Cherie M.,Ghate Sujata V.,Yoon Sora C.,Mazurowski Maciej A.

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging

Cited by 14 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. Global Radiomic Features from Mammography for Predicting Difficult-To-Interpret Normal Cases;Journal of Digital Imaging;2023-05-30

2. A Research on Determining Factors That Make Diagnosis Difficult for Physicians with AHP;Süleyman Demirel Üniversitesi Vizyoner Dergisi;2023-05-25

3. Global mammographic radiomic signature can predict radiologists’ difficult-to-interpret normal cases;Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment;2023-04-03

4. Deep learning can be used to train naïve, nonprofessional observers to detect diagnostic visual patterns of certain cancers in mammograms: a proof-of-principle study;Journal of Medical Imaging;2020-02-04

5. Perception and Training;The Handbook of Medical Image Perception and Techniques;2018-12-13

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