Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification
Summary
Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification is a scholarly article[1].
Key Facts
Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/exploiting-patch-sizes-and-resolutions-for-multi-scale-deep-learning-in-mammogram-image-classification
MLA“Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exploiting-patch-sizes-and-resolutions-for-multi-scale-deep-learning-in-mammogram-image-classification.
BibTeX@misc{4ortxyz_exploiting-patch-sizes-and-resolutions-for-multi-scale-deep-learning-in-mammogram-image-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification}}, year = {2026}, url = {https://4ort.xyz/entity/exploiting-patch-sizes-and-resolutions-for-multi-scale-deep-learning-in-mammogram-image-classification}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification — https://4ort.xyz/entity/exploiting-patch-sizes-and-resolutions-for-multi-scale-deep-learning-in-mammogram-image-classification (retrieved 2026-05-24)
