Learning generalizable visual representation via adaptive spectral random convolution for medical image segmentation

Research article (Computers in Biology and Medicine, 2023) · cited 11× · AI/ML
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Learning generalizable visual representation via adaptive spectral random convolution for medical image segmentation

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Learning generalizable visual representation via adaptive spectral random convolution for medical image segmentation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Learning generalizable visual representation via adaptive spectral random convolution for medical image segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-generalizable-visual-representation-via-adaptive-spectral-random-convolution-for-medical-image-segmentation
MLA “Learning generalizable visual representation via adaptive spectral random convolution for medical image segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-generalizable-visual-representation-via-adaptive-spectral-random-convolution-for-medical-image-segmentation.
BibTeX @misc{4ortxyz_learning-generalizable-visual-representation-via-adaptive-spectral-random-convolution-for-medical-image-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning generalizable visual representation via adaptive spectral random convolution for medical image segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/learning-generalizable-visual-representation-via-adaptive-spectral-random-convolution-for-medical-image-segmentation}, note = {Accessed: 2026-05-24}}
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