Literature DB >> 23286177

Endoscope distortion correction does not (easily) improve mucosa-based classification of celiac disease.

Jutta Hämmerle-Uhl1, Yvonne Höller, Andreas Uhl, Andreas Vécsei.   

Abstract

Distortion correction is applied to endoscopic duodenal imagery to improve automated classification of celiac disease affected mucosa patches. In a set of six edge- and shape-related feature extraction techniques, only a single one is able to consistently benefit from distortion correction, while for others, even a decrease of classification accuracy is observed. Different types of distortion correction do not lead to significantly different behaviour in the observed application scenario.

Mesh：

Year:  2012        PMID： 23286177     DOI： 10.1007/978-3-642-33454-2_71

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  6 in total

Review 1.  Quantitative image analysis of celiac disease.

Authors:  Edward J Ciaccio; Govind Bhagat; Suzanne K Lewis; Peter H Green
Journal:  World J Gastroenterol       Date:  2015-03-07       Impact factor: 5.742

Review 2.  Coeliac disease and the videocapsule: what have we learned till now.

Authors:  Edward J Ciaccio; Suzanne K Lewis; Govind Bhagat; Peter H Green
Journal:  Ann Transl Med       Date:  2017-05

3.  Computer-aided texture analysis combined with experts' knowledge: Improving endoscopic celiac disease diagnosis.

Authors:  Michael Gadermayr; Hubert Kogler; Maximilian Karla; Dorit Merhof; Andreas Uhl; Andreas Vécsei
Journal:  World J Gastroenterol       Date:  2016-08-21       Impact factor: 5.742

4.  Implementation of a polling protocol for predicting celiac disease in videocapsule analysis.

Authors:  Edward J Ciaccio; Christina A Tennyson; Govind Bhagat; Suzanne K Lewis; Peter H Green
Journal:  World J Gastrointest Endosc       Date:  2013-07-16

Review 5.  Survey on computer aided decision support for diagnosis of celiac disease.

Authors:  Sebastian Hegenbart; Andreas Uhl; Andreas Vécsei
Journal:  Comput Biol Med       Date:  2015-02-23       Impact factor: 4.589

6.  Evaluation of different distortion correction methods and interpolation techniques for an automated classification of celiac disease.

Authors:  M Gadermayr; M Liedlgruber; A Uhl; A Vécsei
Journal:  Comput Methods Programs Biomed       Date:  2013-08-24       Impact factor: 5.428
  6 in total

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