MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic Image Segmentation

Ophthalmic image segmentation serves as a critical foundation for ocular disease diagnosis. Although fully convolutional neural networks (CNNs) are commonly employed for segmentation, they are constrained by inductive biases and face challenges in establishing long-range dependencies. Transformer-ba...

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Veröffentlicht in:	arXiv.org 2024-08
Hauptverfasser:	Xiao, Zunjie, Zhang, Xiaoqing, Higashita, Risa, Liu, Jiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Datasets Eye diseases Image classification Image segmentation Medical imaging Multilayer perceptrons Transformers
Online-Zugang:	Volltext
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