A review of AML classification: a single institution experience in a developing country

Mahmood, Hanan; Abdullah, Wan Zaidah; Yong, Ang Cheng; Ahmed, Suhair Abbas; Abdullah, Abu Dzarr; Baba, Abdul Aziz; Ankathil, Ravindran; Husin, Azlan; Hussein, Adil; Mustaffa, Rapiaah; Hassan, Rosline

doi:10.1007/s12308-014-0198-z

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…Before the publication of the fifth edition of the WHO classification, the FAB classification was still widely used in many countries due to a lack of funding and limited access to genetic analysis equipment [ 6 ]. However, the most recent WHO classification considers both differentiation patterns and genetic aberrations, combining the fourth WHO and FAB classifications and thus making it more accurate.…”

Section: Who Classificationmentioning

confidence: 99%

Choosing the Right Cell Line for Acute Myeloid Leukemia (AML) Research

Skopek

Palusińska

Kaczor-Keller

et al. 2023

IJMS

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Immortalized cell lines are widely used in vitro tools in oncology and hematology research. While these cell lines represent artificial systems and may accumulate genetic aberrations with each passage, they are still considered valuable models for pilot, preliminary, and screening studies. Despite their limitations, cell lines are cost-effective and provide repeatable and comparable results. Choosing the appropriate cell line for acute myeloid leukemia (AML) research is crucial for obtaining reliable and relevant results. Several factors should be considered when selecting a cell line for AML research, such as specific markers and genetic abnormalities associated with different subtypes of AML. It is also essential to evaluate the karyotype and mutational profile of the cell line, as these can influence the behavior and response to the treatment of the cells. In this review, we evaluate immortalized AML cell lines and discuss the issues surrounding them concerning the revised World Health Organization and the French–American–British classifications.

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Section: Who Classificationmentioning

confidence: 99%

Choosing the Right Cell Line for Acute Myeloid Leukemia (AML) Research

Skopek

Palusińska

Kaczor-Keller

et al. 2023

IJMS

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“…A review of AML conducted by [15] uses Canny edge detector for extraction of nucleus. This edge detector follows by [16] which uses Canny for searching nucleus boundary and also cytoplasm for segmentation in cervical cancer detection.…”

Section: M0mentioning

confidence: 99%

M7 subtype leukemic cell edge detection techniques with threshold value comparison and noise filters

Salam¹,

Isa²,

Ahmad³

2019

IJEECS

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The aim of this paper is to study and identify various threshold values for two prevalently used edge detection techniques, which are Sobel and Canny. The purpose is to determine which value gives an accurate result for identifying a leukemic cell. Moreover, evaluating suitability of edge detectors is also essential as feature extraction of cell depends greatly on image segmentation (edge detection). Firstly, an image of M7 subtype of Acute Myelocytic Leukemia (AML) is selected due to its diagnosing which were found lacking. Next, apply noise filters for the best of image quality. Thus by comparing image with no filter, median and average filters, useful information can be acquired. Each edge detectors is fixed with threshold value of 0-0.5 but for Cann edge detection the value can increase until 0.9. From the research, it is found that Canny edge with no filter and a threshold value of 0.7 gives a clearer image with less noise reduction.

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Comparison of edge detection techniques for M7 subtype Leukemic cell in terms of noise filters and threshold value

2017

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Abstract. This paper will focus on the study and identifying various threshold values for two commonly used edge detection techniques, which are Sobel and Canny Edge detection. The idea is to determine which values are apt in giving accurate results in identifying a particular leukemic cell. In addition, evaluating suitability of edge detectors are also essential as feature extraction of the cell depends greatly on image segmentation (edge detection). Firstly, an image of M7 subtype of Acute Myelocytic Leukemia (AML) is chosen due to its diagnosing which were found lacking. Next, for an enhancement in image quality, noise filters are applied. Hence, by comparing images with no filter, median and average filter, useful information can be acquired. Each threshold value is fixed with value 0, 0.25 and 0.5. From the investigation found, without any filter, Canny with a threshold value of 0.5 yields the best result.

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A review of AML classification: a single institution experience in a developing country

Cited by 6 publications

References 7 publications

Choosing the Right Cell Line for Acute Myeloid Leukemia (AML) Research

Choosing the Right Cell Line for Acute Myeloid Leukemia (AML) Research

M7 subtype leukemic cell edge detection techniques with threshold value comparison and noise filters

Comparison of edge detection techniques for M7 subtype Leukemic cell in terms of noise filters and threshold value

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