#classification2 articles

2 articles

AINeutralarXiv – CS AI · 4h ago0

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General vs Domain-Specific CNNs: Understanding Pretraining Effects on Brain MRI Tumor Classification

Research comparing CNN architectures for brain tumor classification found that general-purpose models like ConvNeXt-Tiny (93% accuracy) outperformed domain-specific medical pre-trained models like RadImageNet DenseNet121 (68% accuracy). The study suggests that contemporary general-purpose CNNs with diverse pre-training may be more effective for medical imaging tasks in data-scarce scenarios.

AINeutralarXiv – CS AI · 4h ago0

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Geometric structure of shallow neural networks and constructive ${\mathcal L}^2$ cost minimization

Researchers developed a new approach to minimize cost functions in shallow ReLU neural networks through explicit construction rather than gradient descent. The study provides mathematical upper bounds for cost minimization and characterizes the geometric structure of network minimizers in classification tasks.