Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions.

IEEE Transactions on Image Processing(2019)

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摘要
Precise delineation of target tumor is a key factor to ensure the effectiveness of radiation therapy. While hybrid positron emission tomography-computed tomography (PET-CT) has become a standard imaging tool in the practice of radiation oncology, many existing automatic/semi-automatic methods still perform tumor segmentation on mono-modal images. In this paper, a co-clustering algorithm is propose...
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关键词
Tumors,Image segmentation,Computed tomography,Hidden Markov models,Positron emission tomography,Feature extraction
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