SwinUNeLCsT: Global–local spatial representation learning with hybrid CNN–transformer for efficient tuberculosis lung cavity weakly supervised semantic segmentation
Summary
SwinUNeLCsT: Global–local spatial representation learning with hybrid CNN–transformer for efficient tuberculosis lung cavity weakly supervised semantic segmentation is a scholarly article[1].
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SwinUNeLCsT: Global–local spatial representation learning with hybrid CNN–transformer for efficient tuberculosis lung cavity weakly supervised semantic segmentation's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). SwinUNeLCsT: Global–local spatial representation learning with hybrid CNN–transformer for efficient tuberculosis lung cavity weakly supervised semantic segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/swinunelcst-globallocal-spatial-representation-learning-with-hybrid-cnntransformer-for-efficient-tuberculosis-lung-cavit