Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks

Purpose Quantitative bone single‐photon emission computed tomography (QBSPECT) has the potential to provide a better quantitative assessment of bone metastasis than planar bone scintigraphy due to its ability to better quantify activity in overlapping structures. An important element of assessing th...

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Veröffentlicht in:	Medical physics (Lancaster) 2021-07, Vol.48 (7), p.3860-3877
Hauptverfasser:	Chen, Junyu, Li, Ye, Luna, Licia P., Chung, Hyun W., Rowe, Steven P., Du, Yong, Solnes, Lilja B., Frey, Eric C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Cluster Analysis convolutional neural networks fuzzy C‐means Image Processing, Computer-Assisted image segmentation Neural Networks, Computer nuclear medicine Single Photon Emission Computed Tomography Computed Tomography Tomography, X-Ray Computed
Online-Zugang:	Volltext
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