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De Novo Radiomics Approach Using Image Augmentation and Features From T1 Mapping to Predict Gleason Scores in Prostate Cancer
Research article (Investigative Radiology, 2021) · cited 25× · AI/ML
De Novo Radiomics Approach Using Image Augmentation and Features From T1 Mapping to Predict Gleason Scores in Prostate Cancer
Summary
De Novo Radiomics Approach Using Image Augmentation and Features From T1 Mapping to Predict Gleason Scores in Prostate Cancer is a scholarly article[1].
Key Facts
De Novo Radiomics Approach Using Image Augmentation and Features From T1 Mapping to Predict Gleason Scores in Prostate Cancer's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). De Novo Radiomics Approach Using Image Augmentation and Features From T1 Mapping to Predict Gleason Scores in Prostate Cancer. Retrieved May 24, 2026, from https://4ort.xyz/entity/de-novo-radiomics-approach-using-image-augmentation-and-features-from-t1-mapping-to-predict-gleason-scores-in-prostate-c
MLA“De Novo Radiomics Approach Using Image Augmentation and Features From T1 Mapping to Predict Gleason Scores in Prostate Cancer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/de-novo-radiomics-approach-using-image-augmentation-and-features-from-t1-mapping-to-predict-gleason-scores-in-prostate-c.
BibTeX@misc{4ortxyz_de-novo-radiomics-approach-using-image-augmentation-and-features-from-t1-mapping-to-predict-gleason-scores-in-prostate-c_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{De Novo Radiomics Approach Using Image Augmentation and Features From T1 Mapping to Predict Gleason Scores in Prostate Cancer}}, year = {2026}, url = {https://4ort.xyz/entity/de-novo-radiomics-approach-using-image-augmentation-and-features-from-t1-mapping-to-predict-gleason-scores-in-prostate-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): De Novo Radiomics Approach Using Image Augmentation and Features From T1 Mapping to Predict Gleason Scores in Prostate Cancer — https://4ort.xyz/entity/de-novo-radiomics-approach-using-image-augmentation-and-features-from-t1-mapping-to-predict-gleason-scores-in-prostate-c (retrieved 2026-05-24)
