Brenner J F, Necheles T F, Bonacossa I A, Fristensky R, Weintraub B A, Neurath P W
J Histochem Cytochem. 1977 Jul;25(7):601-13. doi: 10.1177/25.7.330715.
Automated analysis of lymphoblast cell morphology is being evaluated as a basis for predicting the response to therapy of patients with acute lymphoblastic leukemia. A new technique of scene segmentation particularly applicable to the "cluttered" images of cells in routine bone marrow smears is described. Morphologic characteristics of lymphoblasts found in bone marrow smears made at time of diagnosis were measured by an automated, interactive image-processing system using the new scene segmentation technique. These characteristics, on a patient by patient basis, are being compared to remission length and survival data to develop and test new prognostic methods.
正在评估对淋巴母细胞形态进行自动化分析，以此作为预测急性淋巴细胞白血病患者治疗反应的基础。本文描述了一种新的场景分割技术，该技术特别适用于常规骨髓涂片里细胞的“杂乱”图像。在诊断时制作的骨髓涂片里发现的淋巴母细胞的形态特征，通过一个使用新场景分割技术的自动化交互式图像处理系统进行测量。正在逐例将这些特征与缓解期长度和生存数据进行比较，以开发和测试新的预后方法。
