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Convolutional Neural Networks for Organ Segmentation
Abstract: Accurate automated organ and disease feature segmentation is a challenge for medical imaging analysis. The pancreas, for example, is a small, soft, organ with low uniformity of shape and volume between patients. Because of the lack of uniform image patterns, there are few features that can be used to aid in automated identification of anatomy...
Published: 4/8/2024   |   Inventor(s): Holger Roth, Le Lu, Adam Harrison, Ronald Summers
Keywords(s): Computer Assisted Diagnostics, Computer Vision, Deep Learning, HNN, Holistically-Nested Convolutional Neural Network, Medical Imaging Informatics, National Institutes of Health Clinical Center, NIHCC
Category(s): Application > Software / Apps, Collaboration Sought > Licensing, Collaboration Sought > Collaboration
Convolutional Neural Networks for Organ Segmentation
Abstract: Accurate automated organ and disease feature segmentation is a challenge for medical imaging analysis. The pancreas, for example, is a small, soft, organ with low uniformity of shape and volume between patients. Because of the lack of uniform image patterns, there are few features that can be used to aid in automated identification of anatomy...
Published: 4/8/2024   |   Inventor(s): Le Lu, Holger Roth, Isabelle-Emmanu Nogues, Ronald Summers, Xiaosong Wang
Keywords(s): Computer Assisted Diagnostics, Computer Vision, Deep Learning, HNN, Holistically-Nested Convolutional Neural Network, Medical Imaging Informatics, National Institutes of Health Clinical Center, NIHCC
Category(s): Application > Software / Apps, Collaboration Sought > Licensing
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
Abstract: Medical image datasets are an important clinical resource. Effectively referencing patient images against similar related images and case histories can inform and produce better treatment outcomes. Labeling and identifying disease features and relations between images within a large image database has not been a task capable of automation....
Published: 4/8/2024   |   Inventor(s): Hoo Chang Shin, Le Lu, Ronald Summers
Keywords(s): Chest X-Rays, CNN, Computer Assisted Diagnostics, Convolutional Neural Networks, Deep Learning Model, Disease Mining from Images, Radiology, Recurrent Neural Networks, RNN, Shin
Category(s): Application > Software / Apps, Collaboration Sought > Collaboration, Collaboration Sought > Licensing, TherapeuticArea > Oncology, TherapeuticArea > Cardiology
Progressive and Multipath Neural Network for Medical Image Segmentation
Abstract: The technology relates to software, systems, and methods for automated medical image segmentation via deep learning. Standard holistically-nested networks (HNNs) used in computer vision and medical imaging for segmentation and edge detection have a problem with coarsening resolution. The described technology addresses this.   Simple, progressive...
Published: 4/8/2024   |   Inventor(s): Adam Harrison, Ziyue Xu, Le Lu, Ronald Summers, Daniel Mollura
Keywords(s): Automated Medical Image, Coarsening Resolution, Computer Assisted Diagnostic, Deep Learning, Diagnostics, Holistically-nested networks (HNNs), Image Segmentation, Medical Imaging, Medical Imaging Processing, Segmentation
Category(s): Collaboration Sought > Collaboration, Application > Software / Apps, Collaboration Sought > Licensing
Computer-Aided Diagnostic for Use in Multiparametric MRI for Prostate Cancer
Abstract: Multiparametric MRI improves image detail and prostate cancer detection rates compared to standard MRI. Computer aided diagnostics (CAD) used in combination with multiparametric MRI images may further improve prostate cancer detection and visualization. The technology, developed by researchers at the National Institutes of Health Clinical...
Published: 4/8/2024   |   Inventor(s): Nathan Lay, Yohannes Tsehay, Ronald Summers, Ismail Turkbey, Ruida Cheng, Holger Roth, Matthew Mcauliffe, Sonia Gaur, Francessa Mertan, Peter Choyke, Matthew Greer
Keywords(s): Computer-aided Diagnostic, Image Analysis System/Software, National Institutes of Health Clinical Center, NIHCC
Category(s): Collaboration Sought > Collaboration, Collaboration Sought > Licensing, Application > Software / Apps, TherapeuticArea > Oncology
Method and System of Building Hospital-Scale Medical Image Database
Abstract: Developing computer systems that can recognize and locate image features associated with disease is a challenge for developing fully-automated and high precision computer assisted diagnostics. Joint learning of language tasks in association with vision tasks (association of image features with text annotation) adds an additional level of challenge. ...
Published: 4/8/2024   |   Inventor(s): Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald Summers
Keywords(s): Computer Assisted Diagnostics, Computer Vision, Deep Learning, Medical Imaging Informatics, National Institutes of Health Clinical Center, NIHCC, PACS, Picture Archiving and Communication Systems
Category(s): Collaboration Sought > Licensing, Application > Software / Apps
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