Hong Jiang, Wei Xu, Wei Chen, Jun He, Haoqin Jiang, Zhigang Mao, Min Liu, Mianyang Li, Dandan Liu, Yuling Pan, Chenxue Qu, Linlin Qu, Ziyong Sun, Dehua Sun, Xuefeng Wang, Jianbiao Wang, Wenjing Wu, Ying Xing, Shihong Zhang, Chi Zhang, Lei Zheng, Ming Guan
BACKGROUND: This study investigated the performance of the MC-100i, a pre-commercial digital morphology analyzer utilizing a convolutional neural network algorithm, in a multicentric setting involving up to 11 tertiary hospitals in China. METHODS: Blood smears were analyzed by MC-100i, verified by morphologists, and manually differentiated. The classification performance on WBCs and RBCs was evaluated by comparing the classification results using different methods...
January 29, 2024: Clinica Chimica Acta; International Journal of Clinical Chemistry