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ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data
Research article (Briefings in Bioinformatics, 2022) · cited 61× · AI/ML
ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data
Summary
ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data is a scholarly article[1].
Key Facts
ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data. Retrieved May 24, 2026, from https://4ort.xyz/entity/icsda-a-multi-modal-deep-learning-model-to-predict-breast-cancer-recurrence-and-metastasis-risk-by-integrating-pathologi
MLA“ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/icsda-a-multi-modal-deep-learning-model-to-predict-breast-cancer-recurrence-and-metastasis-risk-by-integrating-pathologi.
BibTeX@misc{4ortxyz_icsda-a-multi-modal-deep-learning-model-to-predict-breast-cancer-recurrence-and-metastasis-risk-by-integrating-pathologi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data}}, year = {2026}, url = {https://4ort.xyz/entity/icsda-a-multi-modal-deep-learning-model-to-predict-breast-cancer-recurrence-and-metastasis-risk-by-integrating-pathologi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data — https://4ort.xyz/entity/icsda-a-multi-modal-deep-learning-model-to-predict-breast-cancer-recurrence-and-metastasis-risk-by-integrating-pathologi (retrieved 2026-05-24)
