Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform

Research article (Scientific Reports, 2023) · cited 35× · AI/ML
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Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform

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Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform. Retrieved May 24, 2026, from https://4ort.xyz/entity/meningioma-brain-tumor-detection-and-classification-using-hybrid-cnn-method-and-ridgelet-transform
MLA “Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/meningioma-brain-tumor-detection-and-classification-using-hybrid-cnn-method-and-ridgelet-transform.
BibTeX @misc{4ortxyz_meningioma-brain-tumor-detection-and-classification-using-hybrid-cnn-method-and-ridgelet-transform_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform}}, year = {2026}, url = {https://4ort.xyz/entity/meningioma-brain-tumor-detection-and-classification-using-hybrid-cnn-method-and-ridgelet-transform}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform — https://4ort.xyz/entity/meningioma-brain-tumor-detection-and-classification-using-hybrid-cnn-method-and-ridgelet-transform (retrieved 2026-05-24)

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