Home ›
Entities
› academia
› Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors
Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors
Research article (Insights into Imaging, 2023) · cited 58× · AI/ML
Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors
Summary
Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors is a scholarly article[1].
Key Facts
Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors'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). Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-combined-with-radiomics-and-deep-learning-features-extracted-from-ct-images-a-novel-ai-model-to-disting
MLA“Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-combined-with-radiomics-and-deep-learning-features-extracted-from-ct-images-a-novel-ai-model-to-disting.
BibTeX@misc{4ortxyz_machine-learning-combined-with-radiomics-and-deep-learning-features-extracted-from-ct-images-a-novel-ai-model-to-disting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-combined-with-radiomics-and-deep-learning-features-extracted-from-ct-images-a-novel-ai-model-to-disting}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors — https://4ort.xyz/entity/machine-learning-combined-with-radiomics-and-deep-learning-features-extracted-from-ct-images-a-novel-ai-model-to-disting (retrieved 2026-05-24)
