SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer’s disease using spectrograms

Research article (Computers in Biology and Medicine, 2024) · cited 16× · AI/ML
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SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer’s disease using spectrograms

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SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer’s disease using spectrograms is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer’s disease using spectrograms. Retrieved May 24, 2026, from https://4ort.xyz/entity/spectrocvt-net-a-convolutional-vision-transformer-architecture-and-channel-attention-for-classifying-alzheimers-disease-
MLA “SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer’s disease using spectrograms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/spectrocvt-net-a-convolutional-vision-transformer-architecture-and-channel-attention-for-classifying-alzheimers-disease-.
BibTeX @misc{4ortxyz_spectrocvt-net-a-convolutional-vision-transformer-architecture-and-channel-attention-for-classifying-alzheimers-disease-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer’s disease using spectrograms}}, year = {2026}, url = {https://4ort.xyz/entity/spectrocvt-net-a-convolutional-vision-transformer-architecture-and-channel-attention-for-classifying-alzheimers-disease-}, note = {Accessed: 2026-05-24}}
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