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English(EN) PRISM: Perinuclear Ring-based Image Segmentation Method for Acute Lymphoblastic Leukemia Classification

PRISM方法通过核周图像分割改进白血病分类

研究人员开发了一种名为PRISM的新方法,用于分割血细胞图像以分类急性淋巴细胞白血病(ALL)。该方法侧重于细胞核周围的自适应同心区域,而不是在低对比度图像中难以辨别的细胞边界。PRISM利用颜色和纹理信息提取细胞质描述符,并将其输入到传统分类器的堆叠集成中。该方法在分类任务中达到了98.46%的高准确率和0.9937的精确率-召回率AUC。 AI

影响 引入了一种新颖的图像分割技术,有望提高血液相关疾病的诊断准确性。

排序理由 发表了一篇学术论文,详细介绍了一种新的图像分割和分类方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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PRISM方法通过核周图像分割改进白血病分类

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发表了一篇学术论文,详细介绍了一种新的图像分割和分类方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · André Ricardo Backes ·

    PRISM:基于核周环的急性淋巴细胞白血病分类图像分割方法

    Automated analysis of peripheral blood smears for Acute Lymphoblastic Leukemia (ALL) is hindered by low contrast and substantial variability in cytoplasmic appearance, which complicate conventional membrane-based segmentation. We found that many recent approaches rely on heavy ne…