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CSNet: A new DeepNet framework for ischemic stroke lesion segmentation

  • Published:2020-09 Issue: Volume:193 Page:105524
  • ISSN:0169-2607
  • Container-title:Computer Methods and Programs in Biomedicine
  • language:en
  • Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Kumar Amish,Upadhyay Neha,Ghosal Palash,Chowdhury Tamal,Das Dipayan,Mukherjee Amritendu,Nandi Debashis

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference35 articles.

1. Global Status Report on Noncommunicable Diseases 2010.;Alwan,2011

2. Medical image analysis methods in mr/ct-imaged acute-subacute ischemic stroke lesion: segmentation, prediction and insights into dynamic evolution simulation models. a critical appraisal;Rekik;NeuroImage: Clin.,2012

3. New approach to detect and classify stroke in skull ct images via analysis of brain tissue densities;Reboucas Filho;Comput Methods Programs Biomed.,2017

4. Isles challenge, ischemic stroke lesion segmentation, accessed(19-11-2019).

5. Random decision forests;Ho,1995

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