DSGMFFN: Deepest semantically guided multi-scale feature fusion network for automated lesion segmentation in ABUS images
Summary
DSGMFFN: Deepest semantically guided multi-scale feature fusion network for automated lesion segmentation in ABUS images is a scholarly article[1].
Key Facts
DSGMFFN: Deepest semantically guided multi-scale feature fusion network for automated lesion segmentation in ABUS images's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). DSGMFFN: Deepest semantically guided multi-scale feature fusion network for automated lesion segmentation in ABUS images. Retrieved May 24, 2026, from https://4ort.xyz/entity/dsgmffn-deepest-semantically-guided-multi-scale-feature-fusion-network-for-automated-lesion-segmentation-in-abus-images