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A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network
Research article (Biomedical Signal Processing and Control, 2022) · cited 44× · AI/ML
A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network
Summary
A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network is a scholarly article[1].
Key Facts
A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-biologically-inspired-hybrid-deep-learning-approach-for-brain-tumor-classification-from-magnetic-resonance-imaging-usi
MLA“A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-biologically-inspired-hybrid-deep-learning-approach-for-brain-tumor-classification-from-magnetic-resonance-imaging-usi.
BibTeX@misc{4ortxyz_a-biologically-inspired-hybrid-deep-learning-approach-for-brain-tumor-classification-from-magnetic-resonance-imaging-usi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network}}, year = {2026}, url = {https://4ort.xyz/entity/a-biologically-inspired-hybrid-deep-learning-approach-for-brain-tumor-classification-from-magnetic-resonance-imaging-usi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network — https://4ort.xyz/entity/a-biologically-inspired-hybrid-deep-learning-approach-for-brain-tumor-classification-from-magnetic-resonance-imaging-usi (retrieved 2026-05-24)
