Home ›
Entities
› academia
› <scp>Fully‐automatic</scp> identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (<scp>HOG</scp>)
<scp>Fully‐automatic</scp> identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (<scp>HOG</scp>)
Research article (Expert Systems, 2021) · cited 33× · AI/ML
Fully‐automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG)
Summary
Fully‐automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG) is a scholarly article[1].
Key Facts
Fully‐automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG)'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). <scp>Fully‐automatic</scp> identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (<scp>HOG</scp>). Retrieved May 24, 2026, from https://4ort.xyz/entity/scp-fullyautomatic-scp-identification-of-gynaecological-abnormality-using-a-new-adaptive-frequency-filter-and-histogram-
MLA“<scp>Fully‐automatic</scp> identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (<scp>HOG</scp>).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/scp-fullyautomatic-scp-identification-of-gynaecological-abnormality-using-a-new-adaptive-frequency-filter-and-histogram-.
BibTeX@misc{4ortxyz_scp-fullyautomatic-scp-identification-of-gynaecological-abnormality-using-a-new-adaptive-frequency-filter-and-histogram-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{<scp>Fully‐automatic</scp> identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (<scp>HOG</scp>)}}, year = {2026}, url = {https://4ort.xyz/entity/scp-fullyautomatic-scp-identification-of-gynaecological-abnormality-using-a-new-adaptive-frequency-filter-and-histogram-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): <scp>Fully‐automatic</scp> identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (<scp>HOG</scp>) — https://4ort.xyz/entity/scp-fullyautomatic-scp-identification-of-gynaecological-abnormality-using-a-new-adaptive-frequency-filter-and-histogram- (retrieved 2026-05-24)
