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

The InMop captures WBC inner-nucleus structure by applying a multiscale Shearlet decomposition over a repetitive pattern (mosaic) of automatically-segmented nuclei. As a complement, Haralick's statistics characterize the local structure of the whole cell from an intensity co-occurrence matrix representation.

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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Intra-nucleus Mosaic pattern (InMop) and whole-cell Haralick combined-descriptor for identifying and characterizing Acute Leukemia Blasts on single cell peripheral blood images

2023年12月20日 · Meet Inmop, The opposite of Pomni She came from a magic mirror, and she's the exact opposite of Pomni, Opposite Opinions, Color of clothes, Personality, everything about them is the opposite of pomni.

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2023年8月11日 · The InMop captures WBC inner-nucleus structure by applying a multiscale Shearlet decomposition over a repetitive pattern (mosaic) of automatically-segmented nuclei.