ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement

Research article (Medical Image Analysis, 2023) · cited 27× · AI/ML
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ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement

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ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement. Retrieved May 24, 2026, from https://4ort.xyz/entity/adnet-a-few-shot-learning-framework-for-multi-class-medical-image-volume-segmentation-with-uncertainty-guided-feature-re
MLA “ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/adnet-a-few-shot-learning-framework-for-multi-class-medical-image-volume-segmentation-with-uncertainty-guided-feature-re.
BibTeX @misc{4ortxyz_adnet-a-few-shot-learning-framework-for-multi-class-medical-image-volume-segmentation-with-uncertainty-guided-feature-re_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement}}, year = {2026}, url = {https://4ort.xyz/entity/adnet-a-few-shot-learning-framework-for-multi-class-medical-image-volume-segmentation-with-uncertainty-guided-feature-re}, note = {Accessed: 2026-05-24}}
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