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04/17/2023
BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors
Medical data poses a daunting challenge for AI algorithms: it exists in ...
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10/16/2022
3D-GMIC: an efficient deep neural network to find small objects in large 3D images
3D imaging enables a more accurate diagnosis by providing spatial inform...
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11/28/2020
Differences between human and machine perception in medical diagnosis
Deep neural networks (DNNs) show promise in image-based medical diagnosi...
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09/19/2020
Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms
Breast cancer is the most common cancer in women, and hundreds of thousa...
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03/23/2020
Understanding the robustness of deep neural network classifiers for breast cancer screening
Deep neural networks (DNNs) show promise in breast cancer screening, but...
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02/13/2020
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Medical images differ from natural images in significantly higher resolu...
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03/20/2019
