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ECT-NAS: Searching Efficient CNN-Transformers Architecture for Medical Image Segmentation

Research article (2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021) · cited 15× · AI/ML
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ECT-NAS: Searching Efficient CNN-Transformers Architecture for Medical Image Segmentation

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ECT-NAS: Searching Efficient CNN-Transformers Architecture for Medical Image Segmentation is a scholarly article[1].

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  • ECT-NAS: Searching Efficient CNN-Transformers Architecture for Medical Image Segmentation's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). ECT-NAS: Searching Efficient CNN-Transformers Architecture for Medical Image Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/ect-nas-searching-efficient-cnn-transformers-architecture-for-medical-image-segmentation
MLA “ECT-NAS: Searching Efficient CNN-Transformers Architecture for Medical Image Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ect-nas-searching-efficient-cnn-transformers-architecture-for-medical-image-segmentation.
BibTeX @misc{4ortxyz_ect-nas-searching-efficient-cnn-transformers-architecture-for-medical-image-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ECT-NAS: Searching Efficient CNN-Transformers Architecture for Medical Image Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/ect-nas-searching-efficient-cnn-transformers-architecture-for-medical-image-segmentation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ECT-NAS: Searching Efficient CNN-Transformers Architecture for Medical Image Segmentation — https://4ort.xyz/entity/ect-nas-searching-efficient-cnn-transformers-architecture-for-medical-image-segmentation (retrieved 2026-05-24)

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