SHF: Symmetrical Hierarchical Forest with Pretrained Vision Transformer Encoder for High-Resolution Medical Segmentation

NeurIPSSpotlight2025

Authors
Enzhi Zhang, Peng Chen, Rui Zhong, Du Wu, Jun Igarashi, Isaac Lyngaas, Xiao Wang, Masaharu Munetomo, Mohamed Wahib
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

This paper presents a novel approach to addressing the long-sequence problem in high-resolution medical images for Vision Transformers (ViTs)

Opening excerpt from the authors’ abstract. source

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Topics

segmentation transformer

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