Med Biol Eng Comput - Abnormal localization of immature precursors (ALIP) detection for early prediction of acute myelocytic leukemia (AML) relapse.

Tópicos

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Resumo

Acute myelocytic leukemia (AML) is a relapsing and deadly disease. Thus, it is important to early predict leukemia relapse. Recent studies have demonstrated strong correlations of relapse with abnormal localization of immature precursors (ALIP). However, there is no related research on automated detection of ALIP so far. To this end, we have proposed an ALIP detection method to investigate the relevance with AML relapse. Kernelized fuzzy C-means clustering is applied first to separate the foreground (with cells) and background (without cells). Image repairing is then used to wipe out noises to mark region of interest. Then, image partition is introduced to separate the overlapping cells. After that, a set of features are extracted for the classification. Thereafter, support vector machine is applied to classify precursors. At last, filtering operations are applied to obtain the binary-precursor detection results. Thirty-seven patients with AML are examined. The results show that ALIP is efficiently detected in a high sensitivity and positive predictive value by our proposed method. The investigation also demonstrates the strong correlations of AML relapse with ALIP.

Resumo Limpo

acut myelocyt leukemia aml relaps dead diseas thus import earli predict leukemia relaps recent studi demonstr strong correl relaps abnorm local immatur precursor alip howev relat research autom detect alip far end propos alip detect method investig relev aml relaps kernel fuzzi cmean cluster appli first separ foreground cell background without cell imag repair use wipe nois mark region interest imag partit introduc separ overlap cell set featur extract classif thereaft support vector machin appli classifi precursor last filter oper appli obtain binaryprecursor detect result thirtyseven patient aml examin result show alip effici detect high sensit posit predict valu propos method investig also demonstr strong correl aml relaps alip

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