A Hematologist-Level Deep Learning Algorithm (BMSNet) for Assessing the Morphologies of Single Nuclear Balls in Bone Marrow Smears: Algorithm Development.

Yi-Ying Wu Tzu-Chuan Huang Ren-Hua Ye Wen-Hui Fang Shiue-Wei Lai Ping-Ying Chang Wei-Nung Liu Tai-Yu Kuo Cho-Hao Lee Wen-Chiuan Tsai Chin Lin

Published in: JMIR medical informatics (2020)

Our deep learning model can assist hematologists in interpreting bone marrow smears by facilitating and accelerating the detection of hematopoietic cells. However, a detailed morphological interpretation still requires trained hematologists.

Keyphrases

deep learning
bone marrow
artificial intelligence
induced apoptosis
convolutional neural network
mesenchymal stem cells
machine learning
cell cycle arrest
loop mediated isothermal amplification
resistance training
signaling pathway
oxidative stress
sensitive detection