DIAG Nijmegen

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DIAG Nijmegen

DIAG Nijmegen

@DIAGNijmegen

Diagnostic Image Analysis Group (DIAG) @radboudumc. We develop computer algorithms to interpret and process medical images, and host https://t.co/Ax52zdy4gm.

Nijmegen, The Netherlands Katılım Eylül 2012
87 Takip Edilen229 Takipçiler
DIAG Nijmegen retweetledi
Colin Jacobs
Colin Jacobs@jacobscolin1·
In our most recent paper just published in Radiology: Imaging Cancer, we showed that using a dedicated CT lung screening viewer improved interobserver agreement for Lung-RADS categorization while substantially reducing the reading time bit.ly/2XVl4jq #lungcancerscreening
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DIAG Nijmegen
DIAG Nijmegen@DIAGNijmegen·
Do check out the new algorithm submission feature which is being rolled out for challenges in medical image analysis by @Grnd_Challenge
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DIAG Nijmegen retweetledi
Marc Aubreville
Marc Aubreville@MAubreville·
I know that algorithm submission can be tricky if you've never dockered an algorithm or participated in a docker-container based challenge. That's why I've prepared a short demo of how to submit on the @MiccaiS MIDOG 2021 challenge: youtu.be/6onlwFzdKN0
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YouTube
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DIAG Nijmegen retweetledi
Kiran Vaidhya Venkadesh
Kiran Vaidhya Venkadesh@kiranvaidhya93·
Deep learning can play a critical role in screening for cancer. @jacobscolin1 and I talk about our algorithm that estimates malignancy risk of lung nodules, and the role of AI in lung cancer screening in this story covered by @RSNA News. #cancer #medtwitter #radiologyAI
RSNA@RSNA

Deep learning models that aid in predicting the risk of breast and lung cancer are leading the way as artificial intelligence applications in radiology move from the theoretical to the practical. bit.ly/2UIstAH @ConstanceLehman @kiranvaidhya93 #RadAI

Kerala, India 🇮🇳 English
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RSNA
RSNA@RSNA·
Deep learning models that aid in predicting the risk of breast and lung cancer are leading the way as artificial intelligence applications in radiology move from the theoretical to the practical. bit.ly/2UIstAH @ConstanceLehman @kiranvaidhya93 #RadAI
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DIAG Nijmegen retweetledi
Linda Chu, MD
Linda Chu, MD@LindaChuMD·
The August episode talks about fMRI in brain tumor resection, deep learning of lung nodules, and CT for appendicitis. @liciapluna @kiranvaidhya93 @jacobscolin1 @DIAGNijmegen @rnicola04
Radiology@radiology_rsna

A new episode of the @radiology_rsna podcast is now available! Each month, the hosts provide listeners with discussions on new research and summaries of the latest Radiology issue. #RadPodcasts @LindaChuMD @rnicola04 rsnaradiology.libsyn.com/issue-summary-…

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DIAG Nijmegen retweetledi
Radiology
Radiology@radiology_rsna·
A deep learning algorithm can have a discriminative performance comparable to that of clinical experts on low-dose screening chest CTs. bit.ly/3wkICtn
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Keşfet

@jacobscolin1 @Radiology_AI @arnaudsetio @kaggle @MiccaiS @RSNA @ConstanceLehman @kiranvaidhya93