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News/A Multi-Dataset Benchmark of Multiple Instance Learning for 3D Neuroimage Classification
arxiv
PublishedApril 30, 2026 at 4:00 AM
—neutral

A Multi-Dataset Benchmark of Multiple Instance Learning for 3D Neuroimage Classification

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arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2604.26807v1 Announce Type: new Abstract: 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 more efficient alternative for 3D

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Discussion
Mentioned models
03
  • 01
    3D CNNs
  • 02
    3D ViTs
  • 03
    MIL
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#medical-imaging#neural-networks#efficiency#comparison

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Mentioned models
03
  • 01
    3D CNNs
  • 02
    3D ViTs
  • 03
    MIL
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#medical-imaging#neural-networks#efficiency#comparison

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