Bridging 2D and 3D Segmentation Networks for Computation-Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions

Recently, deep convolutional neural networks have achieved great success for medical image segmentation. However, unlike segmentation of natural images, most medical images such as MRI and CT are volumetric data. In order to make full use of volumetric information, 3D CNNs are widely used. However,...

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Veröffentlicht in:	Computerized medical imaging and graphics 2022-07, Vol.99, p.102088-102088, Article 102088
Hauptverfasser:	Zhang, Yichi, Liao, Qingcheng, Ding, Le, Zhang, Jicong
Format:	Artikel
Sprache:	eng
Schlagworte:	2.5D Segmentation Methods Computation-Efficient Learning Convolutional Neural Network Medical Image Segmentation
Online-Zugang:	Volltext
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