3d mri 2attention mechanisms 1boundary detection 1deep learning 1localized attention 1perineural invasion 1perineural invasion prediction 1scale-adaptive network 1transformer models 1
From the 2 of 4 papers with an AI index.
- Seoul National UniversityKR3 papers
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- Korea Institute of Materials ScienceKR2 papers
- Samsung Medical CenterKR2 papers
- University of SeoulKR2 papers
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- Korea Advanced Institute of Science and TechnologyKR1 paper
- University High SchoolUS1 paper
- University of SouthamptonGB1 paper
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cs.CV2026
LoSA-Net: A Localized and Scale-Adaptive Network for Boundary-Sensitive Prediction of Perineural Invasion in 3D MRI
Youngung Han, Hyunsu Go, Kyeonghun Kim +9
The paper introduces LoSA-Net, a neural network that uses localized self‑attention and scale‑adaptive processing to improve detection of perineural invasion boundaries in 3D contra…
cs.CV2026
MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI
Youngung Han, Induk Um, Kyeonghun Kim +9
The paper introduces MMA-Former, a 3D transformer model with a multi-window mixture-of-head attention mechanism, to predict perineural invasion from T1-weighted MRI scans.