Validation and estimation of spleen volume via computer-assisted segmentation on clinically acquired CT scans

Purpose: Deep learning is a promising technique for spleen segmentation. Our study aims to validate the reproducibility of deep learning-based spleen volume estimation by performing spleen segmentation on clinically acquired computed tomography (CT) scans from patients with myeloproliferative neopla...

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Bibliographic Details
Published in:J Med Imaging (Bellingham)
Main Authors: Yang, Yiyuan, Tang, Yucheng, Gao, Riqiang, Bao, Shunxing, Huo, Yuankai, McKenna, Matthew T., Savona, Michael R., Abramson, Richard G., Landman, Bennett A.
Format: Artigo
Language:Inglês
Published: Society of Photo-Optical Instrumentation Engineers 2021
Subjects:
Image Processing
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7893322/
https://ncbi.nlm.nih.gov/pubmed/33634205
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.8.1.014004
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