Philips Archives - Todd McCollough's Website https://www.toddmccollough.com/tag/philips/ Todd McCollough's Website Mon, 02 Dec 2019 04:37:22 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://www.toddmccollough.com/wp-content/uploads/2021/05/cropped-todd_mccollough_logo_125_125-32x32.png Philips Archives - Todd McCollough's Website https://www.toddmccollough.com/tag/philips/ 32 32 Radiological Society of North America (RSNA) Meeting in Chicago, IL, in 2019, at McCormick Place https://www.toddmccollough.com/radiological-society-of-north-america-rsna-meeting-in-chicago-il-in-2019-at-mccormick-place/ https://www.toddmccollough.com/radiological-society-of-north-america-rsna-meeting-in-chicago-il-in-2019-at-mccormick-place/#comments Mon, 02 Dec 2019 04:37:22 +0000 http://www.toddmccollough.com/?p=1875 I was able to attend the Radiological Society of North America’s (RSNA) 105th Scientific Assembly and Annual Meeting at McCormick Place in Chicago, IL, which occurred from December 1 to December 6, 2019. […]

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I was able to attend the Radiological Society of North America’s (RSNA) 105th Scientific Assembly and Annual Meeting at McCormick Place in Chicago, IL, which occurred from December 1 to December 6, 2019. The annual meeting is a very large gathering of industry leaders in medical imaging, radiologists, and other related industry professionals. This was the 105th Scientific Assembly and Annual Meeting with the tagline: See Possibilities – Together. This year expanded focus on artificial intelligence with a brand new AI Showcase Technical Exhibit in the North Building. More than 100 companies were in the AI Showcase to demo software and products. In addition, the RSNA AI Deep Learning lab, a hands on classroom focusing on using open-source tools for deep learning, was now integrated into the AI Showcase Technical Exhibit. This year the AI Deep Learning Lab featured four unique sessions: Beginner Class: Classification Task, Segmentation, Data Science: Data Wrangling, and Generative Adversarial Networks (GANs).

This year also expanded focus on 3D Printing and Advanced Visualization with an expanded Showcase and Theater offering daily presentations on the latest research and innovations in 3D printing for medical applications. I was able to attend a presentation covering Category III CPT Codes for 3D Printing of Anatomic Models and Guides, Scripting for Segmentation, 3D Printing to Support Research, and Leveraging 3D Printing for Surgical Simulation. It was quite interesting to hear more about the Category III CPT Codes for 3D Printing, which includes 0559T, 0560T, 0561T, and 0562T that went into effect in July, 2019. This should allow for greater adoption by physicians and medical centers. Even so, for those utilizing 3D printing, it was encouraged by the presenter of the CPT code talk to sign up for the RSNA-ACR 3D Printing Registry to help support a future category I CPT code.

As usual there were numerous posters and presentations. Also as usual, there were many exhibitors with medical imaging devices ready to provide demonstrations of their latest technology. New exhibitors this year included Amazon Web Services (AWS) and Medical IP. I was able to attend a few educational courses and scientific sessions. In particular I attended the Artificial Intelligence: Cutting Edge Artificial Intelligence session and Creating Publicly Accessible Radiology Imaging Resources for Machine Learning and AI sessions. In the former session mentioned above, an interesting talk titled Defacing Neuroimages discussed image de-identification using a two-step deep learning model for head CTs and brain MRIs. In the former session, I also was intrigued by a talk titled Automated Detection of Vertebral Fractures in CT Using 3D Convolutional Neural Networks that discussed automatically detecting vertebral fractures in CT images of the spine using a learning method with 3D features. The latter session featured several talks discussing practical challenges with data preparation including image pre-processing steps, techniques for creating ground truth labeling, and statistical approaches to create training and testing data sets.

Below are some of the pictures I took while at the RSNA annual meeting in 2019, in Chicago, IL.

RSNA 2019 Cardiac Posters
3D Printers and Segmentation Software
Segmentation Software Class 1 Class 2 Class 3
3D Printing CPT Codes Category III
RSNA 2019 GI Posters
RSNA 2019 3D Printed Models
RSNA 2019 NCI Perception Lab
RSNA 2019 Publishers Row
RSNA 2019 Canon Exhibit
RSNA 2019 Hitachi Exhibit
RSNA 2019 United CT Scanners
RSNA 2019 GE Healthcare
RSNA 2019 OmniTom
RSNA 2019 Neusoft
RSNA 2019 Dunlee
Medical Imaging Open MRI ASG RSNA 2019
3D Printed Brain RSNA 2019
Materialise Booth RSNA 2019
RSNA 2019 3D Printing Showcase
RSNA 2019 AI Showcase
RSNA AI Artificial Intelligence 2019
RSNA AI Showcase Exhibitors 2019
RSNA 2019 NVIDIA Clara Segmentation

I attended the RSNA annual meeting last year in 2018 and the prior year in 2017, where you can find more information and photos at http://www.toddmccollough.com/radiological-society-of-north-america-rsna-meeting-in-chicago-il-in-2018-at-mccormick-place/ and http://www.toddmccollough.com/radiological-society-north-america-rsna-chicago-il-2017-mccormick-place/.

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Radiological Society of North America (RSNA) Meeting in Chicago, IL, in 2018, at McCormick Place https://www.toddmccollough.com/radiological-society-of-north-america-rsna-meeting-in-chicago-il-in-2018-at-mccormick-place/ https://www.toddmccollough.com/radiological-society-of-north-america-rsna-meeting-in-chicago-il-in-2018-at-mccormick-place/#comments Mon, 26 Nov 2018 02:35:21 +0000 http://www.toddmccollough.com/?p=1554 I was able to attend the Radiological Society of North America’s (RSNA) 104th Scientific Assembly and Annual Meeting at McCormick Place in Chicago, IL, which occurred from November 25 to November 30, 2018. […]

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I was able to attend the Radiological Society of North America’s (RSNA) 104th Scientific Assembly and Annual Meeting at McCormick Place in Chicago, IL, which occurred from November 25 to November 30, 2018. The annual meeting is a very large gathering of industry leaders in medical imaging, radiologists, and other related industry professionals. This was the 104th Scientific Assembly and Annual Meeting with the tagline: Tomorrow’s Radiology today. This year brought back much emphasis on machine learning and 3D printing. As usual there were many exhibitors with new medical imaging devices ready to discuss and provide demonstrations. In particular there were a few 1st time exhibitors I was excited to see including EMTensor and Butterfly Network. There was also a U.S. market debut by United Imaging Healthcare which had a large exhibitor space. As usual there were also numerous posters and presentations.

This year brought back the popular deep learning classroom presented by the NVIDIA Deep Learning Institute (DLI) designed for attendees to engage with deep learning tools, write algorithms and improve their understanding of deep learning technology. In one session, called Introduction to Deep Learning, attendees used convolutional neural networks (CNNs) along with a MedNIST data set that consists of 1,000 images each from 5 different categories: Chest X-ray, hand X-ray, Head CT, Chest CT, Abdomen CT, and Breast MRI. The task was for the attendees to identify the image type. Another session focused on 3D segmentation of Brain MR using deep learning methods for segmentation, particularly V-nets.

This year also brought back the machine learning showcase which allowed for the opportunity to network with nearly 80 companies on the forefront of the developments in machine learning and artificial intelligence. This year introduced a new showcase called the 3D printing & advanced visualization showcase which focused on groundbreaking technology in 3D printing, virtual reality and augmented reality. Another new feature this year was a Recruiters Row which allow for attendees to connect with organizations offering career opportunities. Like last year there was also a start-up showcase that featured emerging companies bringing innovations in medical imaging.

I was able to attend a few educational courses and scientific sessions. In particular I attended a session titled Image Processing in Imaging and Radiation Therapy and another session titled Deep Learning in Radiology: How Do We Do It? In the former session I was intrigued by the talk from ImBio which trained a CNN to create quality ventricle segmentations with only 43 scans in the training dataset and used data augmentations to improve the performance on the test dataset and another talk from researchers at the University of Chicago to classify chest radiographs as anteroposterior or posteroanterior. The latter session as indicated above I attended featured insights into deep learning in radiology at The Ohio State University, Stanford University, and the Mayo Clinic Rochester.

Below are some of the pictures I took while at the RSNA annual meeting in 2018, in Chicago, IL.

RSNA_2018_Welcome

RSNA_2018_Sign

RSNA_2018_Lobby

RSNA_2018_Posters

RSNA_Nvidia_Deep_Learning

RSNA_Ask_Expert_Media_Production

RSNA_McCormick_Place_Lobby

RSNA_Samsung_Imaging

RSNA_Varex_Imaging_CT

RSNA_United_Imaging

RSNA_Siemens_Healthineers

RSNA_2018_EMTensor_device

RSNA_2018_EMTensor_banner

RSNA_3D_Printing_Advanced_Visualization_Showcase_Presentations

RSNA_3D_SYSTEMS

RSNA_Canon_Computed_Tompgraphy

RSNA_Materialise_Booth

materialise_3D_printing_RSNA

RSNA_Zebra_medical_vision

RSNA_NVIDIA_Booth

RSNA_mindray

RSNA_GE_SIGNA_Premier

RSNA_Hitachi_Computed_Tomography

RSNA_Machine_Learning_Showcase_Presentations

RSNA_Philips_ultrasound

RSNA_Butterfly_Network

RSNA_IBM_Watson_Health

RSNA_Hologic

RSNA_Corporate_Partners_2018

I also attended last years RSNA annual meeting in 2017 which you can find more information and photos at here http://www.toddmccollough.com/radiological-society-north-america-rsna-chicago-il-2017-mccormick-place/.

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