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ResMIBCU-Net: an encoder–decoder network with residual blocks, modified inverted residual block, and bi-directional ConvLSTM for impacted tooth segmentation in panoramic X-ray images
Research article (Oral Radiology, 2023) · cited 22× · AI/ML
ResMIBCU-Net: an encoder–decoder network with residual blocks, modified inverted residual block, and bi-directional ConvLSTM for impacted tooth segmentation in panoramic X-ray images
Summary
ResMIBCU-Net: an encoder–decoder network with residual blocks, modified inverted residual block, and bi-directional ConvLSTM for impacted tooth segmentation in panoramic X-ray images is a scholarly article[1].
Key Facts
ResMIBCU-Net: an encoder–decoder network with residual blocks, modified inverted residual block, and bi-directional ConvLSTM for impacted tooth segmentation in panoramic X-ray images's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). ResMIBCU-Net: an encoder–decoder network with residual blocks, modified inverted residual block, and bi-directional ConvLSTM for impacted tooth segmentation in panoramic X-ray images. Retrieved May 24, 2026, from https://4ort.xyz/entity/resmibcu-net-an-encoderdecoder-network-with-residual-blocks-modified-inverted-residual-block-and-bi-directional-convlstm
MLA“ResMIBCU-Net: an encoder–decoder network with residual blocks, modified inverted residual block, and bi-directional ConvLSTM for impacted tooth segmentation in panoramic X-ray images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/resmibcu-net-an-encoderdecoder-network-with-residual-blocks-modified-inverted-residual-block-and-bi-directional-convlstm.
BibTeX@misc{4ortxyz_resmibcu-net-an-encoderdecoder-network-with-residual-blocks-modified-inverted-residual-block-and-bi-directional-convlstm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ResMIBCU-Net: an encoder–decoder network with residual blocks, modified inverted residual block, and bi-directional ConvLSTM for impacted tooth segmentation in panoramic X-ray images}}, year = {2026}, url = {https://4ort.xyz/entity/resmibcu-net-an-encoderdecoder-network-with-residual-blocks-modified-inverted-residual-block-and-bi-directional-convlstm}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ResMIBCU-Net: an encoder–decoder network with residual blocks, modified inverted residual block, and bi-directional ConvLSTM for impacted tooth segmentation in panoramic X-ray images — https://4ort.xyz/entity/resmibcu-net-an-encoderdecoder-network-with-residual-blocks-modified-inverted-residual-block-and-bi-directional-convlstm (retrieved 2026-05-24)