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Full convolutional network based multiple side‐output fusion architecture for the segmentation of rectal tumors in magnetic resonance images: A multi‐vendor study
Research article (Medical Physics, 2019) · cited 24× · AI/ML
Full convolutional network based multiple side‐output fusion architecture for the segmentation of rectal tumors in magnetic resonance images: A multi‐vendor study
Summary
Full convolutional network based multiple side‐output fusion architecture for the segmentation of rectal tumors in magnetic resonance images: A multi‐vendor study is a scholarly article[1].
Key Facts
Full convolutional network based multiple side‐output fusion architecture for the segmentation of rectal tumors in magnetic resonance images: A multi‐vendor study's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Full convolutional network based multiple side‐output fusion architecture for the segmentation of rectal tumors in magnetic resonance images: A multi‐vendor study. Retrieved May 24, 2026, from https://4ort.xyz/entity/full-convolutional-network-based-multiple-sideoutput-fusion-architecture-for-the-segmentation-of-rectal-tumors-in-magnet
MLA“Full convolutional network based multiple side‐output fusion architecture for the segmentation of rectal tumors in magnetic resonance images: A multi‐vendor study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/full-convolutional-network-based-multiple-sideoutput-fusion-architecture-for-the-segmentation-of-rectal-tumors-in-magnet.
BibTeX@misc{4ortxyz_full-convolutional-network-based-multiple-sideoutput-fusion-architecture-for-the-segmentation-of-rectal-tumors-in-magnet_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Full convolutional network based multiple side‐output fusion architecture for the segmentation of rectal tumors in magnetic resonance images: A multi‐vendor study}}, year = {2026}, url = {https://4ort.xyz/entity/full-convolutional-network-based-multiple-sideoutput-fusion-architecture-for-the-segmentation-of-rectal-tumors-in-magnet}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Full convolutional network based multiple side‐output fusion architecture for the segmentation of rectal tumors in magnetic resonance images: A multi‐vendor study — https://4ort.xyz/entity/full-convolutional-network-based-multiple-sideoutput-fusion-architecture-for-the-segmentation-of-rectal-tumors-in-magnet (retrieved 2026-05-24)
