Computer-aided detection of early cancer in the esophagus using HD endoscopy images

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Abstract

Esophageal cancer is the fastest rising type of cancer in the Western world. The recent development of High-Definition (HD) endoscopy has enabled the specialist physician to identify cancer at an early stage. Nevertheless, it still requires considerable effort and training to be able to recognize these irregularities associated with early cancer. As a first step towards a Computer-Aided Detection (CAD) system that supports the physician in finding these early stages of cancer, we propose an algorithm that is able to identify irregularities in the esophagus automatically, based on HD endoscopic images. The concept employs tile-based processing, so our system is not only able to identify that an endoscopic image contains early cancer, but it can also locate it. The identification is based on the following steps: (1) preprocessing, (2) feature extraction with dimensionality reduction, (3) classification. We evaluate the detection performance in RGB, HSI and YCbCr color space using the Color Histogram (CH) and Gabor features and we compare with other well-known features to describe texture. For classification, we employ a Support Vector Machine (SVM) and evaluate its performance using different parameters and kernel functions. In experiments, our system achieves a classification accuracy of 95.9% on 50×50 pixel tiles of tumorous and normal tissue and reaches an Area Under the Curve (AUC) of 0.990. In 22 clinical examples our algorithm was able to identify all (pre-)cancerous regions and annotate those regions reasonably well. The experimental and clinical validation are considered promising for a CAD system that supports the physician in finding early stage cancer. © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Original languageEnglish
Title of host publicationMedical Imaging 2013, 9-14 February 2013, Orlando, Florida
EditorsCarol L. Nova
Place of PublicationBellingham
PublisherSPIE
Number of pages12
DOIs
Publication statusPublished - 2013
EventSPIE Medical Imaging 2013 - Disney Coronado Springs Resort, Lake Buena Vista, United States
Duration: 9 Feb 201314 Feb 2013

Publication series

NameProceedings of SPIE
Volume8670

Conference

ConferenceSPIE Medical Imaging 2013
Country/TerritoryUnited States
CityLake Buena Vista
Period9/02/1314/02/13
Other

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