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The impact of data augmentation and transfer learning on the performance of deep learning models for the segmentation of the hip on 3D magnetic resonance images
Research article (Informatics in Medicine Unlocked, 2024) · cited 12× · AI/ML
The impact of data augmentation and transfer learning on the performance of deep learning models for the segmentation of the hip on 3D magnetic resonance images
Summary
The impact of data augmentation and transfer learning on the performance of deep learning models for the segmentation of the hip on 3D magnetic resonance images is a scholarly article[1].
Key Facts
The impact of data augmentation and transfer learning on the performance of deep learning models for the segmentation of the hip on 3D magnetic resonance images's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). The impact of data augmentation and transfer learning on the performance of deep learning models for the segmentation of the hip on 3D magnetic resonance images. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-impact-of-data-augmentation-and-transfer-learning-on-the-performance-of-deep-learning-models-for-the-segmentation-of
MLA“The impact of data augmentation and transfer learning on the performance of deep learning models for the segmentation of the hip on 3D magnetic resonance images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-impact-of-data-augmentation-and-transfer-learning-on-the-performance-of-deep-learning-models-for-the-segmentation-of.
BibTeX@misc{4ortxyz_the-impact-of-data-augmentation-and-transfer-learning-on-the-performance-of-deep-learning-models-for-the-segmentation-of_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The impact of data augmentation and transfer learning on the performance of deep learning models for the segmentation of the hip on 3D magnetic resonance images}}, year = {2026}, url = {https://4ort.xyz/entity/the-impact-of-data-augmentation-and-transfer-learning-on-the-performance-of-deep-learning-models-for-the-segmentation-of}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The impact of data augmentation and transfer learning on the performance of deep learning models for the segmentation of the hip on 3D magnetic resonance images — https://4ort.xyz/entity/the-impact-of-data-augmentation-and-transfer-learning-on-the-performance-of-deep-learning-models-for-the-segmentation-of (retrieved 2026-05-24)