Home ›
Entities
› academia
› Radiomics based on readout-segmented echo-planar imaging (RS-EPI) diffusion-weighted imaging (DWI) for prognostic risk stratification of patients with rectal cancer: a two-centre, machine learning study using the framework of predictive, preventive, and personalized medicine
Radiomics based on readout-segmented echo-planar imaging (RS-EPI) diffusion-weighted imaging (DWI) for prognostic risk stratification of patients with rectal cancer: a two-centre, machine learning study using the framework of predictive, preventive, and personalized medicine
Research article (The EPMA Journal, 2022) · cited 16× · AI/ML
Radiomics based on readout-segmented echo-planar imaging (RS-EPI) diffusion-weighted imaging (DWI) for prognostic risk stratification of patients with rectal cancer: a two-centre, machine learning study using the framework of predictive, preventive, and personalized medicine
Summary
Radiomics based on readout-segmented echo-planar imaging (RS-EPI) diffusion-weighted imaging (DWI) for prognostic risk stratification of patients with rectal cancer: a two-centre, machine learning study using the framework of predictive, preventive, and personalized medicine is a scholarly article[1].
Key Facts
Radiomics based on readout-segmented echo-planar imaging (RS-EPI) diffusion-weighted imaging (DWI) for prognostic risk stratification of patients with rectal cancer: a two-centre, machine learning study using the framework of predictive, preventive, and personalized medicine's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Radiomics based on readout-segmented echo-planar imaging (RS-EPI) diffusion-weighted imaging (DWI) for prognostic risk stratification of patients with rectal cancer: a two-centre, machine learning study using the framework of predictive, preventive, and personalized medicine. Retrieved May 24, 2026, from https://4ort.xyz/entity/radiomics-based-on-readout-segmented-echo-planar-imaging-rs-epi-diffusion-weighted-imaging-dwi-for-prognostic-risk-strat
MLA“Radiomics based on readout-segmented echo-planar imaging (RS-EPI) diffusion-weighted imaging (DWI) for prognostic risk stratification of patients with rectal cancer: a two-centre, machine learning study using the framework of predictive, preventive, and personalized medicine.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/radiomics-based-on-readout-segmented-echo-planar-imaging-rs-epi-diffusion-weighted-imaging-dwi-for-prognostic-risk-strat.
BibTeX@misc{4ortxyz_radiomics-based-on-readout-segmented-echo-planar-imaging-rs-epi-diffusion-weighted-imaging-dwi-for-prognostic-risk-strat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Radiomics based on readout-segmented echo-planar imaging (RS-EPI) diffusion-weighted imaging (DWI) for prognostic risk stratification of patients with rectal cancer: a two-centre, machine learning study using the framework of predictive, preventive, and personalized medicine}}, year = {2026}, url = {https://4ort.xyz/entity/radiomics-based-on-readout-segmented-echo-planar-imaging-rs-epi-diffusion-weighted-imaging-dwi-for-prognostic-risk-strat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Radiomics based on readout-segmented echo-planar imaging (RS-EPI) diffusion-weighted imaging (DWI) for prognostic risk stratification of patients with rectal cancer: a two-centre, machine learning study using the framework of predictive, preventive, and personalized medicine — https://4ort.xyz/entity/radiomics-based-on-readout-segmented-echo-planar-imaging-rs-epi-diffusion-weighted-imaging-dwi-for-prognostic-risk-strat (retrieved 2026-05-24)