ArticleEJNMMI research2021
Automated liver lesion detection in
Article in EJNMMI research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The trial behind it
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Who cites it
13 citing papers in PubMed.
- PET/CT contouring techniques in neuroendocrine neoplasms: a state-of-the-art scoping review.EJNMMI reports · 2026Review
- A Novel Radiomics-Integrated Panel for Preoperative Stratification of Pancreatic Neuroendocrine Tumors (PNETs).Cancers · 2026Article
- Towards practical radiopharmaceutical treatment planning: a review of dosimetry simplification techniques.Theranostics · 2026Review
- Full-Body Tumor Response Heterogeneity of Metastatic Neuroendocrine Tumor Patients Undergoing Peptide Receptor Radiopharmaceutical Therapy.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025Article
- An automated pheochromocytoma and paraganglioma lesion segmentation AI-model at whole-bodyEJNMMI research · 2024Article
- Models using comprehensive, lesion-level, longitudinal [European journal of nuclear medicine and molecular imaging · 2024Article
- Improving Generalizability of PET DL Algorithms: List-Mode Reconstructions Improve DOTATATE PET Hepatic Lesion Detection Performance.Bioengineering (Basel, Switzerland) · 2024Article
- Radiomics and Artificial Intelligence in Radiotheranostics: A Review of Applications for Radioligands Targeting Somatostatin Receptors and Prostate-Specific Membrane Antigens.Diagnostics (Basel, Switzerland) · 2024Review
- AI-based quantification of whole-body tumour burden on somatostatin receptor PET/CT.European journal of hybrid imaging · 2023Article
- Applications of Artificial Intelligence and Radiomics in Molecular Hybrid Imaging and Theragnostics for Neuro-Endocrine Neoplasms (NENs).Life (Basel, Switzerland) · 2023Review
- Modeling contrast-to-noise ratio from list mode reconstructions ofAmerican journal of nuclear medicine and molecular imaging · 2023Article
- Artificial Intelligence and Machine Learning in the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms-A Scoping Review.Diagnostics (Basel, Switzerland) · 2022Article
- An update on the diagnosis of gastroenteropancreatic neuroendocrine neoplasms.World journal of gastroenterology · 2022Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGastroenteropancreatic neuroendocrine tumors most commonly metastasize to the liver; however, high normal background
methodsA retrospective study of
resultsA total of 233 lesions were annotated with each abnormal study containing a mean of 4 ± 2.75 lesions. A pixel filter of 20 produced the highest mean PPV 0.94 ± 0.01. A pixel filter of 5 produced the highest mean sensitivity 0.74 ± 0.02. The highest mean F
conclusionDeep neural networks can automatically detect hepatic lesions in
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