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Multi-stage fuzzy swarm intelligence for automatic hepatic lesion segmentation from CT scans

  • Published:2020-11 Issue: Volume:96 Page:106677
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Anter Ahmed M.ORCID,Bhattacharyya SiddharthaORCID,Zhang ZhiguoORCID

Funder

Shenzhen Peacock Plan

National Natural Science Foundation of China

Science, Technology and Innovation Commission of Shenzhen Municipality

Publisher

Elsevier BV

Subject

Software

Reference64 articles.

1. The global burden of liver disease: the major impact of China;Wang;Hepatology,2014

2. Tensor-based sparse representations of multi-phase medical images for classification of focal liver lesions;Wang;Pattern Recognit. Lett.,2019

3. Deep learning for image-based cancer detection and diagnosis-a survey;Hu;Pattern Recognit.,2018

4. H-denseunet: hybrid densely connected unet for liver and tumor segmentation from CT volumes;Li;IEEE Trans. Med. Imaging,2018

5. Liver lesion segmentation informed by joint liver segmentation;Vorontsov,2018

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