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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Aruzhan Imasheva

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Open access Aug 2026

Supervised vs. adversarially pre-trained pseudo-label generators for semi-supervised breast cancer patch classification

Automated breast cancer classification from whole-slide images (WSIs) is hampered by the scarcity of expert-annotated patches and the domain variability inherent to multi-institutional datasets. We propose and compare two semi-supervised frameworks for patch-level tumor classification under limited annotation. The firs...

T. Zhaksylyk, Aruzhan Imasheva, B. Abdikenov et al. · 0 citations
Open access Sep 2026

Operating-Point Collapse Under Normal-Class Source Confounding in Cross-Dataset Breast Ultrasound Classification

Background: Public breast ultrasound datasets are assembled around lesions. Of eight sources examined here, five contain no normal images, and under leave-one-dataset-out evaluation, the normal class is therefore almost perfectly confounded with the acquisition source: with one site held out, 356 of the 358 normal trai...

B. Abdikenov, Aruzhan Imasheva, Dauren Izdibay et al. · 0 citations

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