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Benign and malignant classification of breast tumor ultrasound images using conventional radiomics and transfer learning features: A multicenter retrospective study
Benign and malignant classification of breast tumor ultrasound images using conventional radiomics and transfer learning features: A multicenter retrospective study
Summary
Benign and malignant classification of breast tumor ultrasound images using conventional radiomics and transfer learning features: A multicenter retrospective study is a scholarly article[1].
Key Facts
Benign and malignant classification of breast tumor ultrasound images using conventional radiomics and transfer learning features: A multicenter retrospective study'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). Benign and malignant classification of breast tumor ultrasound images using conventional radiomics and transfer learning features: A multicenter retrospective study. Retrieved May 24, 2026, from https://4ort.xyz/entity/benign-and-malignant-classification-of-breast-tumor-ultrasound-images-using-conventional-radiomics-and-transfer-learning
MLA“Benign and malignant classification of breast tumor ultrasound images using conventional radiomics and transfer learning features: A multicenter retrospective study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/benign-and-malignant-classification-of-breast-tumor-ultrasound-images-using-conventional-radiomics-and-transfer-learning.
BibTeX@misc{4ortxyz_benign-and-malignant-classification-of-breast-tumor-ultrasound-images-using-conventional-radiomics-and-transfer-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Benign and malignant classification of breast tumor ultrasound images using conventional radiomics and transfer learning features: A multicenter retrospective study}}, year = {2026}, url = {https://4ort.xyz/entity/benign-and-malignant-classification-of-breast-tumor-ultrasound-images-using-conventional-radiomics-and-transfer-learning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Benign and malignant classification of breast tumor ultrasound images using conventional radiomics and transfer learning features: A multicenter retrospective study — https://4ort.xyz/entity/benign-and-malignant-classification-of-breast-tumor-ultrasound-images-using-conventional-radiomics-and-transfer-learning (retrieved 2026-05-24)
