A Intra-nucleus Mosaic pattern (InMop) descriptor is presented for quantifying white blood cell diferences on single cell peripheral blood images. InMop provides a reliable tool for classifying blast and non-blast cells, with state of the art comparable performance and without requiring a large number of training images. 1. Introduction

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A repository for "Intra‐nucleus mosaic pattern (InMop) and whole‐cell Haralick combined‐descriptor for identifying and characterizing acute leukemia blasts on single cell peripheral blood ...

该策略使用核内马赛克模式 （InMop） 描述符来捕获 WBC 内细微的细胞核差异，并使用 Haralick 的统计数据来量化细胞核和细胞质的局部结构。InMop 通过在自动分割的细胞核的重复图案（马赛克）上应用多尺度剪切力分解来捕获 WBC 内核结构。

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2023年8月28日 · Intra‐nucleus Mosaic pattern (InMop) and whole‐cell Haralick combined‐descriptor for identifying and characterizing Acute Leukemia Blasts on single cell peripheral blood images

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2020年2月12日 · In this paper we present a texture based approach for automated leukemia detection. Acute lymphocytic leukemia (ALL) is a malignant disease characterized by the accumulation of lymphoblast in the bone marrow. Texture features of the blood nucleus are investigated for diagnostic prediction of ALL.