Abstract

Reading diagnostic medical images usually requires the expertise of a specialist physician. To aid physicians we have developed an algorithm that deduces medical information by analysing colour nuances of an image obtained by bronchoscopy. The goal is to ensure a high probability of detecting bronchial cancer. Autofluorescent bronchoscopy images are analysed by the proposed algorithm. The machine-made diagnoses of early cancer stages are highly correlated with the diagnoses made by a medical expert. Reading the image using a specialized apparatus and producing a pre-diagnosis by image-recognition software and a special set of rules has the potential to produce automated second opinions for most cases of the disease.

Highlights

  • Reading medical images is one of the key diagnostic methods of modern medicine

  • Enduring research in medical image processing is important for the improvement of existing analyses of medical images, which leads to better medical care

  • The Auto fluorescence bronchoscopy (AFB) images that we investigate were acquired by the light imaging fluorescence endoscope (LIFE), produced by Xillix Technology, Vancouver, with the resolution of 800×600 pixels for both white-light and autofluorescence mode

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Summary

Introduction

Reading medical images is one of the key diagnostic methods of modern medicine. The information deduced from these images is essential for the detection and understanding of pathological conditions. Analysis and understanding of the visual content consist of many image processing operations. The most used are image acquisition, segmentation, compression, registration and quantitative analyses [1]. Enduring research in medical image processing is important for the improvement of existing analyses of medical images, which leads to better medical care. The imaging revolution started with the invention of X-rays. Progress in computer technologies provided the means for the invention of computerised tomography (CT). Research in physics resulted in magnetic resonance imaging (MRI) [2]. Auto fluorescence bronchoscopy (AFB) completes the set of modern non-invasive technologies for medical imaging

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