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Machine learning-based radiomics for multiple primary prostate cancer biological characteristics prediction with 18F-PSMA-1007 PET: comparison among different volume segmentation thresholds
Research article (La radiologia medica, 2022) · cited 49× · AI/ML
Machine learning-based radiomics for multiple primary prostate cancer biological characteristics prediction with 18F-PSMA-1007 PET: comparison among different volume segmentation thresholds
Summary
Machine learning-based radiomics for multiple primary prostate cancer biological characteristics prediction with 18F-PSMA-1007 PET: comparison among different volume segmentation thresholds is a scholarly article[1].
Key Facts
Machine learning-based radiomics for multiple primary prostate cancer biological characteristics prediction with 18F-PSMA-1007 PET: comparison among different volume segmentation thresholds's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Machine learning-based radiomics for multiple primary prostate cancer biological characteristics prediction with 18F-PSMA-1007 PET: comparison among different volume segmentation thresholds. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-based-radiomics-for-multiple-primary-prostate-cancer-biological-characteristics-prediction-with-18f-psm
MLA“Machine learning-based radiomics for multiple primary prostate cancer biological characteristics prediction with 18F-PSMA-1007 PET: comparison among different volume segmentation thresholds.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-based-radiomics-for-multiple-primary-prostate-cancer-biological-characteristics-prediction-with-18f-psm.
BibTeX@misc{4ortxyz_machine-learning-based-radiomics-for-multiple-primary-prostate-cancer-biological-characteristics-prediction-with-18f-psm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning-based radiomics for multiple primary prostate cancer biological characteristics prediction with 18F-PSMA-1007 PET: comparison among different volume segmentation thresholds}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-radiomics-for-multiple-primary-prostate-cancer-biological-characteristics-prediction-with-18f-psm}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning-based radiomics for multiple primary prostate cancer biological characteristics prediction with 18F-PSMA-1007 PET: comparison among different volume segmentation thresholds — https://4ort.xyz/entity/machine-learning-based-radiomics-for-multiple-primary-prostate-cancer-biological-characteristics-prediction-with-18f-psm (retrieved 2026-05-24)
