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Assessing Rectal Cancer Treatment Response Using Coregistered Endorectal Photoacoustic and US Imaging Paired with Deep Learning
Research article (Radiology, 2021) · cited 29× · AI/ML
Assessing Rectal Cancer Treatment Response Using Coregistered Endorectal Photoacoustic and US Imaging Paired with Deep Learning
Summary
Assessing Rectal Cancer Treatment Response Using Coregistered Endorectal Photoacoustic and US Imaging Paired with Deep Learning is a scholarly article[1].
Key Facts
Assessing Rectal Cancer Treatment Response Using Coregistered Endorectal Photoacoustic and US Imaging Paired with Deep Learning'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). Assessing Rectal Cancer Treatment Response Using Coregistered Endorectal Photoacoustic and US Imaging Paired with Deep Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/assessing-rectal-cancer-treatment-response-using-coregistered-endorectal-photoacoustic-and-us-imaging-paired-with-deep-l
MLA“Assessing Rectal Cancer Treatment Response Using Coregistered Endorectal Photoacoustic and US Imaging Paired with Deep Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/assessing-rectal-cancer-treatment-response-using-coregistered-endorectal-photoacoustic-and-us-imaging-paired-with-deep-l.
BibTeX@misc{4ortxyz_assessing-rectal-cancer-treatment-response-using-coregistered-endorectal-photoacoustic-and-us-imaging-paired-with-deep-l_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Assessing Rectal Cancer Treatment Response Using Coregistered Endorectal Photoacoustic and US Imaging Paired with Deep Learning}}, year = {2026}, url = {https://4ort.xyz/entity/assessing-rectal-cancer-treatment-response-using-coregistered-endorectal-photoacoustic-and-us-imaging-paired-with-deep-l}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Assessing Rectal Cancer Treatment Response Using Coregistered Endorectal Photoacoustic and US Imaging Paired with Deep Learning — https://4ort.xyz/entity/assessing-rectal-cancer-treatment-response-using-coregistered-endorectal-photoacoustic-and-us-imaging-paired-with-deep-l (retrieved 2026-05-24)
