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H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images
Research article (Frontiers in Medicine, 2022) · cited 21× · AI/ML
H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images
Summary
H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images is a scholarly article[1].
Key Facts
H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images'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). H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images. Retrieved May 24, 2026, from https://4ort.xyz/entity/h2g-net-a-multi-resolution-refinement-approach-for-segmentation-of-breast-cancer-region-in-gigapixel-histopathological-i
MLA“H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/h2g-net-a-multi-resolution-refinement-approach-for-segmentation-of-breast-cancer-region-in-gigapixel-histopathological-i.
BibTeX@misc{4ortxyz_h2g-net-a-multi-resolution-refinement-approach-for-segmentation-of-breast-cancer-region-in-gigapixel-histopathological-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images}}, year = {2026}, url = {https://4ort.xyz/entity/h2g-net-a-multi-resolution-refinement-approach-for-segmentation-of-breast-cancer-region-in-gigapixel-histopathological-i}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images — https://4ort.xyz/entity/h2g-net-a-multi-resolution-refinement-approach-for-segmentation-of-breast-cancer-region-in-gigapixel-histopathological-i (retrieved 2026-05-24)
