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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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02/03/2022
Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification
With the recent advances in A.I. methodologies and their application to ...
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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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08/01/2019
Improving localization-based approaches for breast cancer screening exam classification
We trained and evaluated a localization-based deep CNN for breast cancer...
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07/30/2019
Screening Mammogram Classification with Prior Exams
Radiologists typically compare a patient's most recent breast cancer scr...
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06/07/2019
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening
Deep learning models designed for visual classification tasks on natural...
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03/20/2019
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
We present a deep convolutional neural network for breast cancer screeni...
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11/10/2017
Breast density classification with deep convolutional neural networks
Breast density classification is an essential part of breast cancer scre...
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03/21/2017
