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Region-specific deep learning models for accurate segmentation of rectal structures on post-chemoradiation T2w MRI: a multi-institutional, multi-reader study
Research article (Frontiers in Medicine, 2023) · cited 11× · AI/ML
Region-specific deep learning models for accurate segmentation of rectal structures on post-chemoradiation T2w MRI: a multi-institutional, multi-reader study
Summary
Region-specific deep learning models for accurate segmentation of rectal structures on post-chemoradiation T2w MRI: a multi-institutional, multi-reader study is a scholarly article[1].
Key Facts
Region-specific deep learning models for accurate segmentation of rectal structures on post-chemoradiation T2w MRI: a multi-institutional, multi-reader study's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Region-specific deep learning models for accurate segmentation of rectal structures on post-chemoradiation T2w MRI: a multi-institutional, multi-reader study. Retrieved May 24, 2026, from https://4ort.xyz/entity/region-specific-deep-learning-models-for-accurate-segmentation-of-rectal-structures-on-post-chemoradiation-t2w-mri-a-mul
MLA“Region-specific deep learning models for accurate segmentation of rectal structures on post-chemoradiation T2w MRI: a multi-institutional, multi-reader study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/region-specific-deep-learning-models-for-accurate-segmentation-of-rectal-structures-on-post-chemoradiation-t2w-mri-a-mul.
BibTeX@misc{4ortxyz_region-specific-deep-learning-models-for-accurate-segmentation-of-rectal-structures-on-post-chemoradiation-t2w-mri-a-mul_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Region-specific deep learning models for accurate segmentation of rectal structures on post-chemoradiation T2w MRI: a multi-institutional, multi-reader study}}, year = {2026}, url = {https://4ort.xyz/entity/region-specific-deep-learning-models-for-accurate-segmentation-of-rectal-structures-on-post-chemoradiation-t2w-mri-a-mul}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Region-specific deep learning models for accurate segmentation of rectal structures on post-chemoradiation T2w MRI: a multi-institutional, multi-reader study — https://4ort.xyz/entity/region-specific-deep-learning-models-for-accurate-segmentation-of-rectal-structures-on-post-chemoradiation-t2w-mri-a-mul (retrieved 2026-05-24)
