SECS: An effective CNN joint construction strategy for breast cancer histopathological image classification

Research article (Journal of King Saud University - Computer and Information Sciences, 2023) · cited 26× · AI/ML
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SECS: An effective CNN joint construction strategy for breast cancer histopathological image classification

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SECS: An effective CNN joint construction strategy for breast cancer histopathological image classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). SECS: An effective CNN joint construction strategy for breast cancer histopathological image classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/secs-an-effective-cnn-joint-construction-strategy-for-breast-cancer-histopathological-image-classification
MLA “SECS: An effective CNN joint construction strategy for breast cancer histopathological image classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/secs-an-effective-cnn-joint-construction-strategy-for-breast-cancer-histopathological-image-classification.
BibTeX @misc{4ortxyz_secs-an-effective-cnn-joint-construction-strategy-for-breast-cancer-histopathological-image-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SECS: An effective CNN joint construction strategy for breast cancer histopathological image classification}}, year = {2026}, url = {https://4ort.xyz/entity/secs-an-effective-cnn-joint-construction-strategy-for-breast-cancer-histopathological-image-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SECS: An effective CNN joint construction strategy for breast cancer histopathological image classification — https://4ort.xyz/entity/secs-an-effective-cnn-joint-construction-strategy-for-breast-cancer-histopathological-image-classification (retrieved 2026-05-24)

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