ArticleRadiology. Artificial intelligence2023
Duke Liver Dataset: A Publicly Available Liver MRI Dataset with Liver Segmentation Masks and Series Labels.
Article in Radiology. Artificial intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 31 citations in OpenAlex.
- Advances in Artificial Intelligence-Based Liver-Related Semantic Segmentation Techniques and Applications Using CT Imaging.Cancer medicine · 2026Review
- A Systematic Review of Deep Learning Approaches for Hepatopancreatic Tumor Segmentation.Journal of imaging · 2026Review
- Automated characterization of abdominal MRI exams using deep learning.Scientific reports · 2025Article
- Large Scale MRI Collection and Segmentation of Cirrhotic Liver.Scientific data · 2025Article
- Article
- MRISegmenter: A Fully Accurate and Robust Automated Multiorgan and Structure Segmentation Tool for T1-weighted Abdominal MRI.Radiology · 2025Article
- Automated Classification of Body MRI Sequences Using Convolutional Neural Networks.Academic radiology · 2025Article
- Systematic Review: AI Applications in Liver Imaging with a Focus on Segmentation and Detection.Life (Basel, Switzerland) · 2025Review
- Fine-grained Prototype Network for MRI Sequence Classification.Current medical imaging · 2025Article
- Magnetic Resonance Imaging Liver Segmentation Protocol Enables More Consistent and Robust Annotations, Paving the Way for Advanced Computer-Assisted Analysis.Diagnostics (Basel, Switzerland) · 2024Article
- Classification of Multi-Parametric Body MRI Series Using Deep Learning.IEEE journal of biomedical and health informatics · 2024Article
- AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data Commons.Scientific data · 2024Article
- Training robust T1-weighted magnetic resonance imaging liver segmentation models using ensembles of datasets with different contrast protocols and liver disease etiologies.Scientific reports · 2024Article
- Article
- Training Robust T1-Weighted Magnetic Resonance Imaging Liver Segmentation Models Using Ensembles of Datasets with Different Contrast Protocols and Liver Disease Etiologies.Research square · 2024Article
- Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation.The journal of machine learning for biomedical imaging · 2024Article
- Data Resources: Milestones and Building Blocks.Radiology. Artificial intelligence · 2023Article
- Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation.Uncertainty for safe utilization of machine learning in medical imaging : 5th international workshop, UNSURE 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, proceedings. UNSURE (Workshop) (5th : 2023... · 2023Article
- On the Centrality of Data: Data Resources in Radiologic Artificial Intelligence.Radiology. Artificial intelligence · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
The Duke Liver Dataset contains 2146 abdominal MRI series from 105 patients, including a majority with cirrhotic features, and 310 image series with corresponding manually segmented liver masks.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.