Saak Transform-Based Machine Learning for Light-Sheet Imaging of Cardiac Trabeculation.

Journal: IEEE transactions on bio-medical engineering
Published Date: Dec 21, 2020

Abstract

OBJECTIVE: Recent advances in light-sheet fluorescence microscopy (LSFM) enable 3-dimensional (3-D) imaging of cardiac architecture and mechanics in toto. However, segmentation of the cardiac trabecular network to quantify cardiac injury remains a challenge.

Authors

  • Yichen Ding
  • Varun Gudapati
    David Geffen School of Medicine UCLA, Los Angeles, CA, USA.
  • Ruiyuan Lin
  • Yanan Fei
  • Rene R Sevag Packard
  • Sibo Song
  • Chih-Chiang Chang
  • Kyung In Baek
  • Zhaoqiang Wang
  • Mehrdad Roustaei
  • Dengfeng Kuang
  • C-C Jay Kuo
  • Tzung K Hsiai
    School of Medicine, University of California Los Angeles, Los Angeles, CA 90073, USA. THsiai@mednet.ucla.edu.

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