SCINTILLA-SNN: A Spiking Multi-Scale Selective Aggregation Network for Perineural Invasion Prediction

arXiv:2609.11237 · cs.CV · Submitted 2026-09-10 · Read on arXiv

cs.CV

Submitted: 2026-09-10

Updated: 2026-10-11

Comments: 5 pages, 2 figures. Youngung Han and Yului Jeong contributed equally to this work. v2: Added equal-contribution statement; scientific content unchanged

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Aggregation — 1× in this paper

Sources

• NeoNet: An End-to-End 3D MRI-Based Deep Learning Framework for Non-Invasive Prediction of Perineural Invasion via Generation-Driven Classification
• SpikeDS: Dual Sparsity Spikformer for Perineural Invasion Prediction in 3D MRI
• Adaptive Routing for Efficient Diffusion Transformer-Based PNI Prediction
• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• Spikformer: When Spiking Neural Network Meets Transformer
• Spikingformer: A Key Foundation Model for Spiking Neural Networks

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