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Automatic grade classification of Barretts Esophagus through feature enhancement
- Source :
- Medical Imaging: Computer-Aided Diagnosis
- Publication Year :
- 2017
- Publisher :
- SPIE, 2017.
-
Abstract
- Barretts Esophagus (BE) is a precancerous condition that affects the esophagus tube and has the risk of develop- ing esophageal adenocarcinoma. BE is the process of developing metaplastic intestinal epithelium and replacing the normal cells in the esophageal area. The detection of BE is considered difficult due to its appearance and properties. The diagnosis is usually done through both endoscopy and biopsy. Recently, Computer Aided Diag- nosis systems have been developed to support physicians opinion when facing difficulty in detection/classification in different types of diseases. In this paper, an automatic classification of Barretts Esophagus condition is intro- duced. The presented method enhances the internal features of a Confocal Laser Endomicroscopy (CLE) image by utilizing a proposed enhancement filter. This filter depends on fractional differentiation and integration that improve the features in the discrete wavelet transform of an image. Later on, various features are extracted from each enhanced image on different levels for the multi-classification process. Our approach is validated on a dataset that consists of a group of 32 patients with 262 images with different histology grades. The experimental results demonstrated the efficiency of the proposed technique. Our method helps clinicians for more accurate classification. This potentially helps to reduce the need for biopsies needed for diagnosis, facilitate the regular monitoring of treatment/development of the patients case and can help train doctors with the new endoscopy technology. The accurate automatic classification is particularly important for the Intestinal Metaplasia (IM) type, which could turn into deadly cancerous. Hence, this work contributes to automatic classification that facilitates early intervention/treatment and decreasing biopsy samples needed.
- Subjects :
- medicine.medical_specialty
medicine.diagnostic_test
Computer science
Esophageal adenocarcinoma
Intestinal metaplasia
medicine.disease
Intestinal epithelium
030218 nuclear medicine & medical imaging
Endoscopy
Precancerous condition
03 medical and health sciences
0302 clinical medicine
medicine.anatomical_structure
Feature (computer vision)
Computer-aided diagnosis
Biopsy
medicine
Endomicroscopy
030211 gastroenterology & hepatology
Barretts esophagus
Radiology
Esophagus
Subjects
Details
- ISSN :
- 0277786X
- Database :
- OpenAIRE
- Journal :
- SPIE Proceedings
- Accession number :
- edsair.doi...........088070b7f2a359f04e4e916659b404d6