AI RESEARCH
A Multi-Dataset Benchmark of Multiple Instance Learning for 3D Neuroimage Classification
arXiv CS.LG
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ArXi:2604.26807v1 Announce Type: new Despite being resource-intensive to train, 3D convolutional neural networks (CNNs) have been the standard approach to classify CT and MRI scans. Recent work suggests that deep multiple instance learning (MIL) may be a efficient alternative for 3D brain scans, especially when the pre-trained image encoder used to embed each 2D slice is frozen and only the pooling operation and classifier are trained.