State of the Art Cell Detection in Bone Marrow Whole Slide Images.

Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101528849 Publication Model: eCollection Cited Medium: Print ISSN: 2229-5089 (Print) NLM ISO Abbreviation: J Pathol Inform Subsets: PubMed not MEDLINE

Publication: 2022- : [New York] : Elsevier Inc.
Original Publication: Ghatkopar, Mumbai : Medknow Publications and Media, 2010-

Competing Interests: There are no conflicts of interest.
Context: Diseases of the hematopoietic system such as leukemia is diagnosed using bone marrow samples. The cell type distribution plays a major role but requires manual analysis of different cell types in microscopy images.
Aims: Automated analysis of bone marrow samples requires detection and classification of different cell types. In this work, we propose and compare algorithms for cell localization, which is a key component in automated bone marrow analysis.
Settings and Design: We research fully supervised detection architectures but also propose and evaluate several techniques utilizing weak annotations in a segmentation network. We further incorporate typical cell-like artifacts into our analysis. Whole slide microscopy images are acquired from the human bone marrow samples and annotated by expert hematologists.
Subjects and Methods: We adapt and evaluate state-of-the-art detection networks. We further propose to utilize the popular U-Net for cell detection by applying suitable preprocessing steps to the annotations.
Statistical Analysis Used: Evaluations are performed on a held-out dataset using multiple metrics based on the two different matching algorithms.
Results: The results show that the detection of cells in hematopoietic images using state-of-the-art detection networks yields very accurate results. U-Net-based methods are able to slightly improve detection results using adequate preprocessing - despite artifacts and weak annotations.
Conclusions: In this work, we propose, U-Net-based cell detection methods and compare with state-of-the-art detection methods for the localization of hematopoietic cells in high-resolution bone marrow images. We show that even with weak annotations and cell-like artifacts, cells can be localized with high precision.
(Copyright: © 2021 Journal of Pathology Informatics.)

IEEE Trans Pattern Anal Mach Intell. 2020 Feb;42(2):318-327. (PMID: 30040631)
IEEE J Biomed Health Inform. 2019 Jul;23(4):1469-1476. (PMID: 30387756)
Lab Invest. 2020 Jan;100(1):98-109. (PMID: 31570774)

Keywords: Bone marrow; detection; hematopoietic cells

Date Created: 20211111 Latest Revision: 20220729

20250114

PMC8546357

10.4103/jpi.jpi_71_20

34760333