DIAG Nijmegen
@DIAGNijmegen
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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
Joined September 2012
RT @AuntMinnieEuro: A Dutch-led research team has published new evidence that artificial intelligence algorithms can perform comparably to….
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RT @jacobscolin1: In our most recent paper just published in Radiology: Imaging Cancer, we showed that using a dedicated CT lung screening….
pubs.rsna.org
An observer study with seven radiologists showed that using a dedicated CT lung screening viewer (with computer-aided detection, a segmentation algorithm, and automatic Lung Imaging Reporting and D...
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RT @Radiology_AI: #DeepLearning for Lung Cancer Detection in Screening CT Scans: Results of a Large-Scale Public Competition and an Observe….
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Results of the biggest @kaggle challenge on lung cancer detection are available now.
Our newest paper is online!.
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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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New #postdoc vacancy in our Computational Pathology Group! #deeplearning #pathology #Cancer #vacancy .
computationalpathologygroup.eu
Are you a creative researcher with a PhD degree in medical image analysis, computer vision, machine learning or similar? Are you looking for an opportunity to develop cutting-edge deep learning...
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RT @MAubreville: I know that algorithm submission can be tricky if you've never dockered an algorithm or participated in a docker-container….
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RT @kiranvaidhya93: Deep learning can play a critical role in screening for cancer. @jacobscolin1 and I talk about our algorithm that estim….
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RT @RSNA: Deep learning models that aid in predicting the risk of breast and lung cancer are leading the way as artificial intelligence app….
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RT @radiology_rsna: A new episode of the @radiology_rsna podcast is now available! Each month, the hosts provide listeners with discussions….
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RT @LindaChuMD: The August episode talks about fMRI in brain tumor resection, deep learning of lung nodules, and CT for appendicitis. @lici….
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RT @Radiology_AI: A #CNN achieved radiologist-level performance in detecting scaphoid fractures on radiographs @JBZ….
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RT @arXiv_Daily: Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients.by Weiyi….
deepai.org
05/25/21 - Automatic lesion segmentation on thoracic CT enables rapid quantitative analysis of lung involvement in COVID- 19 infections. Obta...
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RT @radiology_rsna: A deep learning algorithm can have a discriminative performance comparable to that of clinical experts on low-dose scre….
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RT @radboudumc_weet: Weer een mooie AI publicatie @radboudumc over #longkanker @jacobscolin1 @ai_oost @AIforLifeCenter @AI_Radboud @NLAICoa….
radboudumc.nl
19 mei 2021
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RT @kiranvaidhya93: In our new paper published in @radiology_rsna, we developed and externally validated a deep learning algorithm for esti….
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RT @EricTopol: What an outstanding new review of deep learning #AI for pathology, and what it will take to overcome the obstacles for clini….
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