Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?

The development of efficient segmentation strategies for medical images has evolved from its initial dependence on Convolutional Neural Networks (CNNs) to the current investigation of hybrid models that combine CNNs with Vision Transformers. There is an increasing focus on creating architectures tha...

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Veröffentlicht in:	arXiv.org 2024-12
Hauptverfasser:	Dutta, Pallabi, Bose, Soham, Roy, Swalpa Kumar, Mitra, Sushmita
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Feature maps Image reconstruction Image segmentation Medical imaging Task complexity
Online-Zugang:	Volltext
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