Segmentation of white blood cells and comparison of cell morphology by linear and naïve Bayes classifiers
作者： Jaroonrut Prinyakupt , Charnchai Pluempitiwiriyawej
DOI: 10.1186/S12938-015-0037-1
关键词:
摘要: Background Blood smear microscopic images are routinely investigated by haematologists to diagnose most blood diseases. However, the task is quite tedious and time consuming. An automatic detection and classification of white blood cells within such images can accelerate the process tremendously. In this paper we propose a system to locate white blood cells within microscopic blood smear images, segment them into nucleus and cytoplasm regions, extract suitable features and finally, classify them into five types …
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