Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics

Overview of attention for article published in IEEE Transactions on Medical Imaging, August 2018

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In the top 25% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (86th percentile)
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twitter: 11 X users
patent: 2 patents

q&a: 1 Q&A thread

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So far, Altmetric has seen 12 X posts from 11 X users, with an upper bound of 25,769 followers.

RT @duke_dair: Check out the attached paper for more details: https://t.co/2YaATjAsjf @DukeHealth @DukeAIHealth @DukeRadiology @DukeU @Radi…

16 May 2022

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Check out the attached paper for more details: https://t.co/2YaATjAsjf @DukeHealth @DukeAIHealth @DukeRadiology @DukeU @Radiology_AI @MICCAI_Society @ComputerSociety #AI #Science #radiology #medicine (9/9) https://t.co/6Vyc3l8uCr

10 May 2022

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RT @MazurowskiPhD: Our recent IEEE TMI paper shows a deep learning-based method for segmentation of lesions in breast MRIs with performance…

12 Mar 2020

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Our recent IEEE TMI paper shows a deep learning-based method for segmentation of lesions in breast MRIs with performance comparable to radiologists: https://t.co/7Vpjj7jiKU The code is available here: https://t.co/7KdMgBcbox

13 Feb 2020

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