TY - JOUR AU - Zhu, Chuang AU - Song, Fangzhou AU - Wang, Ying AU - Dong, Huihui AU - Guo, Yao AU - Liu, Jun PY - 2019 DA - 2019/10/22 TI - Breast cancer histopathology image classification through assembling multiple compact CNNs JO - BMC Medical Informatics and Decision Making SP - 198 VL - 19 IS - 1 AB - Breast cancer causes hundreds of thousands of deaths each year worldwide. The early stage diagnosis and treatment can significantly reduce the mortality rate. However, the traditional manual diagnosis needs intense workload, and diagnostic errors are prone to happen with the prolonged work of pathologists. Automatic histopathology image recognition plays a key role in speeding up diagnosis and improving the quality of diagnosis. SN - 1472-6947 UR - https://doi.org/10.1186/s12911-019-0913-x DO - 10.1186/s12911-019-0913-x ID - Zhu2019 ER -