Spatial-spectral identication of abnormal leukocytes based on microscopic hyperspectral imaging technology
作者机构：Shanghai Key Laboratory of Multidimensional Information Processing East China Normal University Shanghai 200241P.R.China
出 版 物：《Journal of Innovative Optical Health Sciences》 (创新光学健康科学杂志（英文）)
年 卷 期：2020年第13卷第2期
页 面：44-56页
核心收录：
学科分类：081704[工学-应用化学] 07[理学] 08[工学] 0817[工学-化学工程与技术] 070302[理学-分析化学] 0703[理学-化学]
基 金：supported in part by the National Natural Science Foundation of China(Grant Nos.61975056 and 61901173) the Shanghai Natural Science Foundation(Grant No.19ZR1416000) the Science and Technology Commission of Shanghai Municipality(Grant Nos.14DZ2260800 and 18511102500)
主 题：Leukocyte microscopic hyperspectral imaging nucleus segmentation Acute Lymphoblastic Leukemia.
摘 要：Screening and diagnosing of abnormal Leukocytes are crucial for the diagnosis of immune diseases and Acute Lymphoblastic Leukemia(ALL).As the deterioration of abnormal leukocytes is mainly due to the changes in the chromatin distribution,which signicantly affects the absorption and reflection of light,the spectral feature is proved to be important for leukocytes classication and *** paper proposes an accurate identication method for healthy and abnormal leukocytes based on microscopic hyperspectral imaging(HSI)technology which combines the spectral *** segmentation of nucleus and cytoplasm is obtained by the morphological watershed ***,the spectral features are extracted and combined with the spatial *** on this,the support vector machine(SVM)is applied for classication ofve types of leukocytes and abnormal *** with different classication methods,the proposed method utilizes spectral features which highlight the differences between healthy leukocytes and abnormal leukocytes,improving the accuracy in the classication and identication of *** paper only selects one subtype of ALL for test,and the proposed method can be applied for detection of other leukemia in the future.
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