Home ›
Entities
› academia
› CAISHI: A benchmark histopathological H&E image dataset for cervical adenocarcinoma in situ identification, retrieval and few-shot learning evaluation
CAISHI: A benchmark histopathological H&E image dataset for cervical adenocarcinoma in situ identification, retrieval and few-shot learning evaluation
Research article (Data in Brief, 2024) · cited 12× · AI/ML
CAISHI: A benchmark histopathological H&E image dataset for cervical adenocarcinoma in situ identification, retrieval and few-shot learning evaluation
Summary
CAISHI: A benchmark histopathological H&E image dataset for cervical adenocarcinoma in situ identification, retrieval and few-shot learning evaluation is a scholarly article[1].
Key Facts
CAISHI: A benchmark histopathological H&E image dataset for cervical adenocarcinoma in situ identification, retrieval and few-shot learning evaluation'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). CAISHI: A benchmark histopathological H&E image dataset for cervical adenocarcinoma in situ identification, retrieval and few-shot learning evaluation. Retrieved May 24, 2026, from https://4ort.xyz/entity/caishi-a-benchmark-histopathological-h-amp-e-image-dataset-for-cervical-adenocarcinoma-in-situ-identification-retrieval-
MLA“CAISHI: A benchmark histopathological H&E image dataset for cervical adenocarcinoma in situ identification, retrieval and few-shot learning evaluation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/caishi-a-benchmark-histopathological-h-amp-e-image-dataset-for-cervical-adenocarcinoma-in-situ-identification-retrieval-.
BibTeX@misc{4ortxyz_caishi-a-benchmark-histopathological-h-amp-e-image-dataset-for-cervical-adenocarcinoma-in-situ-identification-retrieval-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CAISHI: A benchmark histopathological H&E image dataset for cervical adenocarcinoma in situ identification, retrieval and few-shot learning evaluation}}, year = {2026}, url = {https://4ort.xyz/entity/caishi-a-benchmark-histopathological-h-amp-e-image-dataset-for-cervical-adenocarcinoma-in-situ-identification-retrieval-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CAISHI: A benchmark histopathological H&E image dataset for cervical adenocarcinoma in situ identification, retrieval and few-shot learning evaluation — https://4ort.xyz/entity/caishi-a-benchmark-histopathological-h-amp-e-image-dataset-for-cervical-adenocarcinoma-in-situ-identification-retrieval- (retrieved 2026-05-24)
