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Automatical Segmentation of Pelvic Organs After Hysterectomy by using Dilated Convolution U-Net++

Research article (2019 IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C), 2019) · cited 22× · AI/ML
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Automatical Segmentation of Pelvic Organs After Hysterectomy by using Dilated Convolution U-Net++

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Automatical Segmentation of Pelvic Organs After Hysterectomy by using Dilated Convolution U-Net++ is a scholarly article[1].

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  • Automatical Segmentation of Pelvic Organs After Hysterectomy by using Dilated Convolution U-Net++'s instance of is recorded as scholarly article[2].

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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). Automatical Segmentation of Pelvic Organs After Hysterectomy by using Dilated Convolution U-Net++. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatical-segmentation-of-pelvic-organs-after-hysterectomy-by-using-dilated-convolution-u-net
MLA “Automatical Segmentation of Pelvic Organs After Hysterectomy by using Dilated Convolution U-Net++.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatical-segmentation-of-pelvic-organs-after-hysterectomy-by-using-dilated-convolution-u-net.
BibTeX @misc{4ortxyz_automatical-segmentation-of-pelvic-organs-after-hysterectomy-by-using-dilated-convolution-u-net_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatical Segmentation of Pelvic Organs After Hysterectomy by using Dilated Convolution U-Net++}}, year = {2026}, url = {https://4ort.xyz/entity/automatical-segmentation-of-pelvic-organs-after-hysterectomy-by-using-dilated-convolution-u-net}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatical Segmentation of Pelvic Organs After Hysterectomy by using Dilated Convolution U-Net++ — https://4ort.xyz/entity/automatical-segmentation-of-pelvic-organs-after-hysterectomy-by-using-dilated-convolution-u-net (retrieved 2026-05-24)

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