no code implementations • 2 Sep 2020 • Haichao Cao
Background and Objective: Accurate detection of breast masses in mammography images is critical to diagnose early breast cancer, which can greatly improve the patients survival rate.
no code implementations • 21 May 2019 • Haichao Cao, Hong Liu, Enmin Song, Chih-Cheng Hung, Guangzhi Ma, Xiangyang Xu, Renchao Jin, Jianguo Lu
Experimental results show that the DB-ResNet achieves superior segmentation performance with an average dice score of 82. 74% on the dataset.
no code implementations • 21 May 2019 • Haichao Cao, Hong Liu, Enmin Song
First, the nucleus of leukocyte was separated by using the stepwise averaging method.
no code implementations • 9 May 2019 • Haichao Cao, Hong Liu, Enmin Song, Guangzhi Ma, Xiangyang Xu, Renchao Jin, Tengying Liu, Chih-Cheng Hung
The CNN architecture in the first stage is based on the improved UNet segmentation network to establish an initial detection of lung nodules.
no code implementations • 5 May 2018 • Haichao Cao, Hong Liu, Enmin Song
The localization of BMC is achieved from a color transformation enhanced BMC sample image and stepwise averaging method (SAM).