Home ›
Entities
› academia
› A hybrid deep learning based brain tumor classification and segmentation by stationary wavelet packet transform and adaptive kernel fuzzy c means clustering
A hybrid deep learning based brain tumor classification and segmentation by stationary wavelet packet transform and adaptive kernel fuzzy c means clustering
Research article (Advances in Engineering Software, 2022) · cited 31× · AI/ML
A hybrid deep learning based brain tumor classification and segmentation by stationary wavelet packet transform and adaptive kernel fuzzy c means clustering
Summary
A hybrid deep learning based brain tumor classification and segmentation by stationary wavelet packet transform and adaptive kernel fuzzy c means clustering is a scholarly article[1].
Key Facts
A hybrid deep learning based brain tumor classification and segmentation by stationary wavelet packet transform and adaptive kernel fuzzy c means clustering'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). A hybrid deep learning based brain tumor classification and segmentation by stationary wavelet packet transform and adaptive kernel fuzzy c means clustering. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hybrid-deep-learning-based-brain-tumor-classification-and-segmentation-by-stationary-wavelet-packet-transform-and-adap
MLA“A hybrid deep learning based brain tumor classification and segmentation by stationary wavelet packet transform and adaptive kernel fuzzy c means clustering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hybrid-deep-learning-based-brain-tumor-classification-and-segmentation-by-stationary-wavelet-packet-transform-and-adap.
BibTeX@misc{4ortxyz_a-hybrid-deep-learning-based-brain-tumor-classification-and-segmentation-by-stationary-wavelet-packet-transform-and-adap_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hybrid deep learning based brain tumor classification and segmentation by stationary wavelet packet transform and adaptive kernel fuzzy c means clustering}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybrid-deep-learning-based-brain-tumor-classification-and-segmentation-by-stationary-wavelet-packet-transform-and-adap}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A hybrid deep learning based brain tumor classification and segmentation by stationary wavelet packet transform and adaptive kernel fuzzy c means clustering — https://4ort.xyz/entity/a-hybrid-deep-learning-based-brain-tumor-classification-and-segmentation-by-stationary-wavelet-packet-transform-and-adap (retrieved 2026-05-24)
