Artificial intelligence-based quantitative bone marrow pathology analysis for myeloproliferative neoplasms

Artificial intelligence-based quantitative bone marrow pathology analysis for myeloproliferative neoplasms

The evaluation of bone marrow pathology is essential for diagnosing and classifying myeloproliferative neoplasms (MPNs). However, morphological assessments of bone marrow trephine (BMT) sections by hematopathologists are inherently subjective; thus, an accurate and objective diagnostic system is ne...

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Main Authors: Dandan Yu, Hongju Zhang, Yanyan Song, Yuan Tao, Fengyuan Zhou, Ziyi Wang, Rongfeng Fu, Ting Sun, Huan Dong, Wenjing Gu, Renchi Yang, Zhijian Xiao, Qi Sun, Lei Zhang
Format: Article
Language:English
Published: Ferrata Storti Foundation 2025-06-01
Series:Haematologica
Online Access:https://haematologica.org/article/view/12100
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