An approach based on biclustering and neural network for classification of lesions in breast ultrasound

Research article (2016 International Conference on Advanced Robotics and Mechatronics (ICARM), 2016) · cited 10× · AI/ML
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An approach based on biclustering and neural network for classification of lesions in breast ultrasound

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An approach based on biclustering and neural network for classification of lesions in breast ultrasound is a scholarly article[1].

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  • An approach based on biclustering and neural network for classification of lesions in breast ultrasound's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). An approach based on biclustering and neural network for classification of lesions in breast ultrasound. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-approach-based-on-biclustering-and-neural-network-for-classification-of-lesions-in-breast-ultrasound
MLA “An approach based on biclustering and neural network for classification of lesions in breast ultrasound.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-approach-based-on-biclustering-and-neural-network-for-classification-of-lesions-in-breast-ultrasound.
BibTeX @misc{4ortxyz_an-approach-based-on-biclustering-and-neural-network-for-classification-of-lesions-in-breast-ultrasound_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An approach based on biclustering and neural network for classification of lesions in breast ultrasound}}, year = {2026}, url = {https://4ort.xyz/entity/an-approach-based-on-biclustering-and-neural-network-for-classification-of-lesions-in-breast-ultrasound}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An approach based on biclustering and neural network for classification of lesions in breast ultrasound — https://4ort.xyz/entity/an-approach-based-on-biclustering-and-neural-network-for-classification-of-lesions-in-breast-ultrasound (retrieved 2026-05-24)

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