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Automatic Myeloblast Segmentation in Acute Myeloid Leukemia Images based on Adversarial Feature Learning.

作者信息

Zhang Zelin, Arabyarmohammadi Sara, Leo Patrick, Meyerson Howard, Metheny Leland, Xu Jun, Madabhushi Anant

机构信息

Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, USA.

Case Western Reserve University, Cleveland, OH, USA.

出版信息

Comput Methods Programs Biomed. 2024 Jan;243. doi: 10.1016/j.cmpb.2023.107852. Epub 2023 Oct 18.

DOI:10.1016/j.cmpb.2023.107852
PMID:38708372
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11068364/
Abstract
摘要

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JCO Clin Cancer Inform. 2022 May;6:e2100156. doi: 10.1200/CCI.21.00156.
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An automatic nuclei segmentation method based on deep convolutional neural networks for histopathology images.一种基于深度卷积神经网络的组织病理学图像细胞核自动分割方法。
BMC Biomed Eng. 2019 Oct 17;1:24. doi: 10.1186/s42490-019-0026-8. eCollection 2019.
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Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images.基于部分点标注的弱监督深度学习细胞核分割方法在病理图像中的应用
IEEE Trans Med Imaging. 2020 Nov;39(11):3655-3666. doi: 10.1109/TMI.2020.3002244. Epub 2020 Oct 28.
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Machine-based detection and classification for bone marrow aspirate differential counts: initial development focusing on nonneoplastic cells.基于机器的骨髓穿刺液有核细胞分类计数检测:以非肿瘤细胞为重点的初步研发
Lab Invest. 2020 Jan;100(1):98-109. doi: 10.1038/s41374-019-0325-7. Epub 2019 Sep 30.
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