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Predicting the prognosis of HER2-positive breast cancer patients by fusing pathological whole slide images and clinical features using multiple instance learning
Predicting the prognosis of HER2-positive breast cancer patients by fusing pathological whole slide images and clinical features using multiple instance learning
Summary
Predicting the prognosis of HER2-positive breast cancer patients by fusing pathological whole slide images and clinical features using multiple instance learning is a scholarly article[1].
Key Facts
Predicting the prognosis of HER2-positive breast cancer patients by fusing pathological whole slide images and clinical features using multiple instance learning'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). Predicting the prognosis of HER2-positive breast cancer patients by fusing pathological whole slide images and clinical features using multiple instance learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-the-prognosis-of-her2-positive-breast-cancer-patients-by-fusing-pathological-whole-slide-images-and-clinical-
MLA“Predicting the prognosis of HER2-positive breast cancer patients by fusing pathological whole slide images and clinical features using multiple instance learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-the-prognosis-of-her2-positive-breast-cancer-patients-by-fusing-pathological-whole-slide-images-and-clinical-.
BibTeX@misc{4ortxyz_predicting-the-prognosis-of-her2-positive-breast-cancer-patients-by-fusing-pathological-whole-slide-images-and-clinical-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting the prognosis of HER2-positive breast cancer patients by fusing pathological whole slide images and clinical features using multiple instance learning}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-the-prognosis-of-her2-positive-breast-cancer-patients-by-fusing-pathological-whole-slide-images-and-clinical-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting the prognosis of HER2-positive breast cancer patients by fusing pathological whole slide images and clinical features using multiple instance learning — https://4ort.xyz/entity/predicting-the-prognosis-of-her2-positive-breast-cancer-patients-by-fusing-pathological-whole-slide-images-and-clinical- (retrieved 2026-05-24)
