Deep learning and level set approach for liver and tumor segmentation from CT scans

Research article (Journal of Applied Clinical Medical Physics, 2020) · cited 85× · AI/ML
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Deep learning and level set approach for liver and tumor segmentation from CT scans

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Deep learning and level set approach for liver and tumor segmentation from CT scans is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep learning and level set approach for liver and tumor segmentation from CT scans. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-and-level-set-approach-for-liver-and-tumor-segmentation-from-ct-scans
MLA “Deep learning and level set approach for liver and tumor segmentation from CT scans.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-and-level-set-approach-for-liver-and-tumor-segmentation-from-ct-scans.
BibTeX @misc{4ortxyz_deep-learning-and-level-set-approach-for-liver-and-tumor-segmentation-from-ct-scans_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning and level set approach for liver and tumor segmentation from CT scans}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-and-level-set-approach-for-liver-and-tumor-segmentation-from-ct-scans}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning and level set approach for liver and tumor segmentation from CT scans — https://4ort.xyz/entity/deep-learning-and-level-set-approach-for-liver-and-tumor-segmentation-from-ct-scans (retrieved 2026-05-24)

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