Can a Machine Learn from Radiologists’ Visual Search Behaviour and Their Interpretation of Mammograms—a Deep-Learning Study

Overview of attention for article published in Journal of Digital Imaging, August 2019

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Average Attention Score compared to outputs of the same age
Average Attention Score compared to outputs of the same age and source

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twitter: 4 X users

Citations

dimensions_citation: 7 Dimensions

Readers on

mendeley: 55 Mendeley

Summary X Dimensions citations

So far, Dimensions has found 7 publications that cite this research output.

7

The most recent citing publications are shown below. View all 7 publications that cite this research output on Dimensions.

Shedding light on ai in radiology: A systematic review and taxonomy of eye gaze-driven interpretability in deep learning

Article in European Journal of Radiology (February 2024)

Reducing the number of unnecessary biopsies for mammographic BI-RADS 4 lesions through a deep transfer learning method

Article in BMC Medical Imaging (June 2023)

RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention–Guided Disease Classification

Book chapter (October 2022)