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Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling

Research article (Computerized Medical Imaging and Graphics, 2022) · cited 12× · AI/ML
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Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling

Summary

Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling is a scholarly article[1].

Key Facts

  • Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling. Retrieved May 24, 2026, from https://4ort.xyz/entity/boosting-medical-image-segmentation-via-conditional-synergistic-convolution-and-lesion-decoupling
MLA “Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/boosting-medical-image-segmentation-via-conditional-synergistic-convolution-and-lesion-decoupling.
BibTeX @misc{4ortxyz_boosting-medical-image-segmentation-via-conditional-synergistic-convolution-and-lesion-decoupling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling}}, year = {2026}, url = {https://4ort.xyz/entity/boosting-medical-image-segmentation-via-conditional-synergistic-convolution-and-lesion-decoupling}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling — https://4ort.xyz/entity/boosting-medical-image-segmentation-via-conditional-synergistic-convolution-and-lesion-decoupling (retrieved 2026-05-24)

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