Automated diagnosis of celiac disease by video capsule endoscopy using DAISY Descriptors

This publication has 23 references indexed in Scilit:

• Automated diagnosis of celiac disease using DWT and nonlinear features with video capsule endoscopy images
  Future Generation Computer Systems, 2019
• Deep learning for healthcare applications based on physiological signals: A review
  Computer Methods and Programs in Biomedicine, 2018
• Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method
  Computers in Biology and Medicine, 2017
• Extraction and processing of videocapsule data to detect and measure the presence of villous atrophy in celiac disease patients
  Computers in Biology and Medicine, 2016
• Fractional Order Darwinian Particle Swarm Optimization
  2016
• Automated identification of normal and diabetes heart rate signals using nonlinear measures
  Computers in Biology and Medicine, 2013
• Distinguishing patients with celiac disease by quantitative analysis of videocapsule endoscopy images
  Computer Methods and Programs in Biomedicine, 2010
• Automated classification of duodenal imagery in celiac disease using evolved Fourier feature vectors
  Computer Methods and Programs in Biomedicine, 2009
• Performance of feature-selection methods in the classification of high-dimension data
  Pattern Recognition, 2009
• A Mathematical Theory of Communication
  Bell System Technical Journal, 1948