Article

Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms

2023-01-06

Abstract excerpt

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 bioimages generated from various sources with differences in sample preparation. We present the setup and results of the “Hacking the Human Body” machine learning algorithm development competition hosted by the Human Biomolecular Atlas (HuBMAP)...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 50d7d935-75e4-5f9e-bea6-80a807b8aad3
DOI: 10.1101/2023.01.05.522764

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithmsDOI 10.1101/2023.01.05.522764Read

Robust and generalizable segmentation of human functional tissue unitsSemantic proximity Read

Human BioMolecular Atlas Program (HuBMAP): 3D Human Reference Atlas Construction and UsageSemantic proximity Read

Quality Control Matters: Automated Magnetic Resonance Imaging-based Abdominal Organ Segmentation in 20,000 Participants of the UK Biobank and German National Cohort Studies.Semantic proximity Read

The Human Organ AtlasSemantic proximity Read

Anatomical structures, cell types and biomarkers of the Human Reference Atlas.Semantic proximity Read

Benchmarking single cell transcriptome matching methods for incremental growth of cell atlasesSemantic proximity Read

OrganSegBench: Bridging the Translational Gap for Medical Segmentation Foundation Models Through Principled Model SynergySemantic proximity Read

Cell type populations for 3D anatomical structures of the Human Reference AtlasSemantic proximity Read

Accurate Diagnostic Tissue Segmentation and Concurrent Disease Subtyping with Small DatasetsSemantic proximity Read

OpenSlideFM: A Computationally Efficient Multi-Scale Foundation Model for Computational PathologySemantic proximity Read

AI-Supported Extraction of Functional Tissue Unit Properties for Human Reference Atlas ConstructionSemantic proximity Read

CPU-READY DEEP LEARNING APPROACH FOR ROBUST TISSUE REGION SEGMENTATION ACROSS MULTI-COHORT H&E AND IHC-STAINED WHOLE SLIDE IMAGESSemantic proximity Read