Learning feature fusion via an interpretation method for tumor segmentation on PET/CT
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Software
Reference43 articles.
1. Globally optimal tumor segmentation in pet-ct images: a graph-based co-segmentation method;Han,2011
2. Random walk and graph cut for co-segmentation of lung tumor on pet-ct images;Ju;IEEE Trans. Image Process.,2015
3. Joint tumor segmentation in pet-ct images using co-clustering and fusion based on belief functions;Lian;IEEE Trans. Image Process.,2018
4. Fusion of multi-tracer pet images for dose painting;Lelandais;Med. Image Anal.,2014
5. Concurrent multimodality image segmentation by active contours for radiotherapy treatment planning a;El Naqa;Med. Phys.,2007
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Exploring and Exploiting Multi-Modality Uncertainty for Tumor Segmentation on PET/CT;IEEE Journal of Biomedical and Health Informatics;2024-09
2. RFLSE: Joint radiomics feature‐enhanced level‐set segmentation for low‐contrast SPECT/CT tumour images;IET Image Processing;2024-05-21
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