Abstract:
Precise clustering of computerised tomography (CT) lung images presents the opportunity of early diagnosis for the different lung diseases such as the cancer or COVID 19. CT scan centres suffer from expert shortage, experiencing and high loads, particularly in developing countries. It prompted many researchers to make further improvements on the section is responsible for medical image processing. Reducing the work area in medical image by separating the parts of CT lung image was a major point which the radiologists targeted. The study focused on the segmentation methods, especially fast fuzzy c-means technique. In this work, fast fuzzy c-means automatically clusters the lung image from background. The promising results were obtained when the work is applied on the public CT lung image data.
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