Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms
The development of a reference atlas of the healthy human body requires automated image
segmentation of major anatomical structures across multiple organs based on spatial …
segmentation of major anatomical structures across multiple organs based on spatial …
Human BioMolecular Atlas Program (HuBMAP): 3D Human Reference Atlas Construction and Usage
The Human BioMolecular Atlas Program (HuBMAP) aims to construct a reference 3D
structural, cellular, and molecular atlas of the healthy adult human body. The HuBMAP Data …
structural, cellular, and molecular atlas of the healthy adult human body. The HuBMAP Data …
Construction, Deployment, and Usage of the Human Reference Atlas Knowledge Graph for Linked Open Data
The Human Reference Atlas (HRA) for the healthy, adult body is developed by a team of
international, interdisciplinary experts across 20+ consortia. It provides standard …
international, interdisciplinary experts across 20+ consortia. It provides standard …
[HTML][HTML] Functional Tissue Units in the Human Reference Atlas
Functional tissue units (FTUs) form the basic building blocks of organs and are important for
understanding and modeling the healthy physiological function of the organ and changes …
understanding and modeling the healthy physiological function of the organ and changes …
Vasculature segmentation in 3D hierarchical phase-contrast tomography images of human kidneys
Efficient algorithms are needed to segment vasculature in new three-dimensional (3D)
medical imaging datasets at scale for a wide range of research and clinical applications …
medical imaging datasets at scale for a wide range of research and clinical applications …
Data Visualizations That Improve the Segmentation of Medical Images
Y Ju - 2024 - search.proquest.com
As machine learning (ML) models become more complex, their internal logic becomes more
difficult to understand and optimize. This poses significant challenges for ML training …
difficult to understand and optimize. This poses significant challenges for ML training …