Improving splenomegaly segmentation by learning from heterogeneous multi-source labels

Research article (Medical Imaging 2019: Image Processing, 2019) · cited 18× · AI/ML
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Improving splenomegaly segmentation by learning from heterogeneous multi-source labels

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Improving splenomegaly segmentation by learning from heterogeneous multi-source labels is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving splenomegaly segmentation by learning from heterogeneous multi-source labels. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-splenomegaly-segmentation-by-learning-from-heterogeneous-multi-source-labels
MLA “Improving splenomegaly segmentation by learning from heterogeneous multi-source labels.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-splenomegaly-segmentation-by-learning-from-heterogeneous-multi-source-labels.
BibTeX @misc{4ortxyz_improving-splenomegaly-segmentation-by-learning-from-heterogeneous-multi-source-labels_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving splenomegaly segmentation by learning from heterogeneous multi-source labels}}, year = {2026}, url = {https://4ort.xyz/entity/improving-splenomegaly-segmentation-by-learning-from-heterogeneous-multi-source-labels}, note = {Accessed: 2026-05-24}}
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