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Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation

Research article (ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020) · cited 28× · AI/ML
academia openalex:W3015196706
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Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation

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Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation is a scholarly article[1].

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  • Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-data-augmentation-via-deep-reinforcement-learning-for-effective-kidney-tumor-segmentation
MLA “Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-data-augmentation-via-deep-reinforcement-learning-for-effective-kidney-tumor-segmentation.
BibTeX @misc{4ortxyz_automatic-data-augmentation-via-deep-reinforcement-learning-for-effective-kidney-tumor-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-data-augmentation-via-deep-reinforcement-learning-for-effective-kidney-tumor-segmentation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation — https://4ort.xyz/entity/automatic-data-augmentation-via-deep-reinforcement-learning-for-effective-kidney-tumor-segmentation (retrieved 2026-05-24)

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