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

Comput Methods Programs Biomed. 2024 Jan:243:107852. doi: 10.1016/j.cmpb.2023.107852. Epub 2023 Oct 18.

Authors

Zelin Zhang¹, Sara Arabyarmohammadi¹, Patrick Leo², Howard Meyerson³, Leland Metheny³, Jun Xu⁴, Anant Madabhushi^{1

5}

Affiliations

¹ Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, USA.
² Case Western Reserve University, Cleveland, OH, USA.
³ University Hospital, Cleveland, OH, USA.
⁴ Nanjing University of Information Science & Technology, Nanjing, JiangSu, China.
⁵ Atlanta Veterans Administration Medical Center, Atlanta, USA.

PMID: 38708372
PMCID: PMC11068364 (available on 2025-01-01)
DOI: 10.1016/j.cmpb.2023.107852

No abstract available

Keywords: Acute myeloid leukemia; Myeloblast segmentation; cGAN.

MeSH terms

Algorithms
Granulocyte Precursor Cells
Humans
Image Processing, Computer-Assisted / methods
Leukemia, Myeloid, Acute* / diagnostic imaging
Machine Learning

Grants and funding