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LogTrans: Providing Efficient Local-Global Fusion with Transformer and CNN Parallel Network for Biomedical Image Segmentation

Research article (2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems &am
academia openalex:W4361020001
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LogTrans: Providing Efficient Local-Global Fusion with Transformer and CNN Parallel Network for Biomedical Image Segmentation

Summary

LogTrans: Providing Efficient Local-Global Fusion with Transformer and CNN Parallel Network for Biomedical Image Segmentation is a scholarly article[1].

Key Facts

  • LogTrans: Providing Efficient Local-Global Fusion with Transformer and CNN Parallel Network for Biomedical Image Segmentation's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). LogTrans: Providing Efficient Local-Global Fusion with Transformer and CNN Parallel Network for Biomedical Image Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/logtrans-providing-efficient-local-global-fusion-with-transformer-and-cnn-parallel-network-for-biomedical-image-segmenta
MLA “LogTrans: Providing Efficient Local-Global Fusion with Transformer and CNN Parallel Network for Biomedical Image Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/logtrans-providing-efficient-local-global-fusion-with-transformer-and-cnn-parallel-network-for-biomedical-image-segmenta.
BibTeX @misc{4ortxyz_logtrans-providing-efficient-local-global-fusion-with-transformer-and-cnn-parallel-network-for-biomedical-image-segmenta_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LogTrans: Providing Efficient Local-Global Fusion with Transformer and CNN Parallel Network for Biomedical Image Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/logtrans-providing-efficient-local-global-fusion-with-transformer-and-cnn-parallel-network-for-biomedical-image-segmenta}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LogTrans: Providing Efficient Local-Global Fusion with Transformer and CNN Parallel Network for Biomedical Image Segmentation — https://4ort.xyz/entity/logtrans-providing-efficient-local-global-fusion-with-transformer-and-cnn-parallel-network-for-biomedical-image-segmenta (retrieved 2026-05-24)

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