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Developing an explainable deep learning boundary correction method by incorporating cascaded x-Dim models to improve segmentation defects in liver CT images
Research article (Computers in Biology and Medicine, 2021) · cited 12× · AI/ML
Developing an explainable deep learning boundary correction method by incorporating cascaded x-Dim models to improve segmentation defects in liver CT images
Summary
Developing an explainable deep learning boundary correction method by incorporating cascaded x-Dim models to improve segmentation defects in liver CT images is a scholarly article[1].
Key Facts
Developing an explainable deep learning boundary correction method by incorporating cascaded x-Dim models to improve segmentation defects in liver CT images'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). Developing an explainable deep learning boundary correction method by incorporating cascaded x-Dim models to improve segmentation defects in liver CT images. Retrieved May 24, 2026, from https://4ort.xyz/entity/developing-an-explainable-deep-learning-boundary-correction-method-by-incorporating-cascaded-x-dim-models-to-improve-seg
MLA“Developing an explainable deep learning boundary correction method by incorporating cascaded x-Dim models to improve segmentation defects in liver CT images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/developing-an-explainable-deep-learning-boundary-correction-method-by-incorporating-cascaded-x-dim-models-to-improve-seg.
BibTeX@misc{4ortxyz_developing-an-explainable-deep-learning-boundary-correction-method-by-incorporating-cascaded-x-dim-models-to-improve-seg_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Developing an explainable deep learning boundary correction method by incorporating cascaded x-Dim models to improve segmentation defects in liver CT images}}, year = {2026}, url = {https://4ort.xyz/entity/developing-an-explainable-deep-learning-boundary-correction-method-by-incorporating-cascaded-x-dim-models-to-improve-seg}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Developing an explainable deep learning boundary correction method by incorporating cascaded x-Dim models to improve segmentation defects in liver CT images — https://4ort.xyz/entity/developing-an-explainable-deep-learning-boundary-correction-method-by-incorporating-cascaded-x-dim-models-to-improve-seg (retrieved 2026-05-24)
