Evaluation of two semi-supervised learning methods and their combination for automatic classification of bone marrow cells

Evaluation of two semi-supervised learning methods and their combination for automatic classification of bone marrow cells

Abstract Differential bone marrow (BM) cell counting is an important test for the diagnosis of various hematological diseases. However, it is difficult to accurately classify BM cells due to non-uniformity and the lack of reproducibility of differential counting. Therefore, automatic classification...

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Bibliographic Details
Main Authors: Iori Nakamura, Haruhi Ida, Mayu Yabuta, Wataru Kashiwa, Maho Tsukamoto, Shigeki Sato, Syuichi Ota, Naoki Kobayashi, Hiromi Masauzi, Kazunori Okada, Sanae Kaga, Keiko Miwa, Hiroshi Kanai, Nobuo Masauzi
Format: Article
Language:English
Published: Nature Portfolio 2022-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-20651-4

Internet

https://doi.org/10.1038/s41598-022-20651-4

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