Researchers have published a benchmark comparing multiple instance learning (MIL) methods against 3D CNNs and ViTs for classifying 3D neuroimages. The study found that a simple mean pooling MIL approach, without attention mechanisms, performed comparably or better than more complex methods on several tasks. This baseline MIL method was also significantly faster to train, making it a viable option for practitioners with limited computational resources. AI
影响 Provides a benchmark for efficient neural network selection in 3D neuroimage classification, aiding resource-constrained practitioners.
排序理由 Academic paper comparing different machine learning architectures on a specific task.
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