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MASG-GAN: A multi-view attention superpixel-guided generative adversarial network for efficient and simultaneous histopathology image segmentation and classification
Research article (Neurocomputing, 2021) · cited 24× · AI/ML
MASG-GAN: A multi-view attention superpixel-guided generative adversarial network for efficient and simultaneous histopathology image segmentation and classification
Summary
MASG-GAN: A multi-view attention superpixel-guided generative adversarial network for efficient and simultaneous histopathology image segmentation and classification is a scholarly article[1].
Key Facts
MASG-GAN: A multi-view attention superpixel-guided generative adversarial network for efficient and simultaneous histopathology image segmentation and classification's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). MASG-GAN: A multi-view attention superpixel-guided generative adversarial network for efficient and simultaneous histopathology image segmentation and classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/masg-gan-a-multi-view-attention-superpixel-guided-generative-adversarial-network-for-efficient-and-simultaneous-histopat
MLA“MASG-GAN: A multi-view attention superpixel-guided generative adversarial network for efficient and simultaneous histopathology image segmentation and classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/masg-gan-a-multi-view-attention-superpixel-guided-generative-adversarial-network-for-efficient-and-simultaneous-histopat.
BibTeX@misc{4ortxyz_masg-gan-a-multi-view-attention-superpixel-guided-generative-adversarial-network-for-efficient-and-simultaneous-histopat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MASG-GAN: A multi-view attention superpixel-guided generative adversarial network for efficient and simultaneous histopathology image segmentation and classification}}, year = {2026}, url = {https://4ort.xyz/entity/masg-gan-a-multi-view-attention-superpixel-guided-generative-adversarial-network-for-efficient-and-simultaneous-histopat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MASG-GAN: A multi-view attention superpixel-guided generative adversarial network for efficient and simultaneous histopathology image segmentation and classification — https://4ort.xyz/entity/masg-gan-a-multi-view-attention-superpixel-guided-generative-adversarial-network-for-efficient-and-simultaneous-histopat (retrieved 2026-05-24)
