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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

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