分割
人工智能
图像分割
相衬显微术
显微镜
计算机视觉
计算机科学
模式识别(心理学)
细胞
尺度空间分割
对比度(视觉)
生物
光学
物理
遗传学
作者
Mingzhong Li,Zhaozheng Yin
出处
期刊:
日期:2016-04-01
卷期号:: 526-530
被引量:2
标识
DOI:10.1109/isbi.2016.7493323
摘要
We propose a novel cell segmentation approach by extracting Multi-exposure Maximally Stable Extremal Regions (MMSER) in phase contrast microscopy images on the same cell dish. Using our method, cell regions can be well identified by considering the maximally stable regions with response to different camera exposure times. Meanwhile, halo artifacts with regard to cells at different stages are leveraged to identify cells' stages. The experimental results validate that high quality cell segmentation and cell stage classification can be achieved by our approach.
科研通智能强力驱动
Strongly Powered by AbleSci AI