BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights
PulseAugur coverage of BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights — every cluster mentioning BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights across labs, papers, and developer communities, ranked by signal.
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GRALIS framework unifies linear attribution methods for deep neural networks
Researchers have introduced GRALIS, a novel mathematical framework designed to unify various linear attribution methods used in Explainable AI (XAI). This framework establishes a canonical representation for attribution…
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DMDSC classifier adapts margins for imbalanced medical image datasets
Researchers have developed a new classifier called DMDSC, designed to improve open-set recognition in medical imaging datasets that suffer from extreme class imbalances. This dynamic-margin approach adjusts margins base…
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New domain generalization model improves magnification-invariant histopathology classification
Researchers have developed a domain-general model to address magnification shifts in histopathology image classification, a common issue that hinders model generalization across different imaging scales. Tested on the B…