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An EffcientNet-encoder U-Net Joint Residual Refinement Module with Tversky–Kahneman Baroni–Urbani–Buser loss for biomedical image Segmentation
Research article (Biomedical Signal Processing and Control, 2023) · cited 24× · AI/ML
An EffcientNet-encoder U-Net Joint Residual Refinement Module with Tversky–Kahneman Baroni–Urbani–Buser loss for biomedical image Segmentation
Summary
An EffcientNet-encoder U-Net Joint Residual Refinement Module with Tversky–Kahneman Baroni–Urbani–Buser loss for biomedical image Segmentation is a scholarly article[1].
Key Facts
An EffcientNet-encoder U-Net Joint Residual Refinement Module with Tversky–Kahneman Baroni–Urbani–Buser loss for biomedical image Segmentation's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). An EffcientNet-encoder U-Net Joint Residual Refinement Module with Tversky–Kahneman Baroni–Urbani–Buser loss for biomedical image Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-effcientnet-encoder-u-net-joint-residual-refinement-module-with-tverskykahneman-baroniurbanibuser-loss-for-biomedical
MLA“An EffcientNet-encoder U-Net Joint Residual Refinement Module with Tversky–Kahneman Baroni–Urbani–Buser loss for biomedical image Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-effcientnet-encoder-u-net-joint-residual-refinement-module-with-tverskykahneman-baroniurbanibuser-loss-for-biomedical.
BibTeX@misc{4ortxyz_an-effcientnet-encoder-u-net-joint-residual-refinement-module-with-tverskykahneman-baroniurbanibuser-loss-for-biomedical_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An EffcientNet-encoder U-Net Joint Residual Refinement Module with Tversky–Kahneman Baroni–Urbani–Buser loss for biomedical image Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/an-effcientnet-encoder-u-net-joint-residual-refinement-module-with-tverskykahneman-baroniurbanibuser-loss-for-biomedical}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An EffcientNet-encoder U-Net Joint Residual Refinement Module with Tversky–Kahneman Baroni–Urbani–Buser loss for biomedical image Segmentation — https://4ort.xyz/entity/an-effcientnet-encoder-u-net-joint-residual-refinement-module-with-tverskykahneman-baroniurbanibuser-loss-for-biomedical (retrieved 2026-05-24)
