期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2016
卷号：36
期号：2
页码：65-70
DOI：10.14445/22312803/IJCTT-V36P111
出版社：Seventh Sense Research Group
摘要：The paper entailsan idea to develop an automated method of analysis of AML blast cell images and to include in imageprocessing software, which enables the haematologist to diagnose AML more effectively and efficiently. Haematologists often face difficulties identifying the subtypes of AML, due to the similarities of their morphological features. Following AML detection, blast cells need to be classified into M3 or one of the other subtypes. The reason for targeting M3 is that its treatment differs from the treatment of the rest, requiring All TransRetinoicAcid (ATRA) to be added to the initial chemotherapy.
