Segmentation of White Blood Cells through Nucleus Mark Watershed Operations and Mean Shift Clustering.
about
A deep convolutional neural network for classification of red blood cells in sickle cell anemia.A novel white blood cells segmentation algorithm based on adaptive neutrosophic similarity score.A Kinect-Based Segmentation of Touching-Pigs for Real-Time Monitoring.Comparative Study on Automated Cell Nuclei Segmentation Methods for Cytology Pleural Effusion Images
P2860
Segmentation of White Blood Cells through Nucleus Mark Watershed Operations and Mean Shift Clustering.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Segmentation of White Blood Ce ...... ons and Mean Shift Clustering.
@ast
Segmentation of White Blood Ce ...... ons and Mean Shift Clustering.
@en
type
label
Segmentation of White Blood Ce ...... ons and Mean Shift Clustering.
@ast
Segmentation of White Blood Ce ...... ons and Mean Shift Clustering.
@en
prefLabel
Segmentation of White Blood Ce ...... ons and Mean Shift Clustering.
@ast
Segmentation of White Blood Ce ...... ons and Mean Shift Clustering.
@en
P2093
P2860
P356
P1433
P1476
Segmentation of White Blood Ce ...... ons and Mean Shift Clustering.
@en
P2093
Chengyun Zheng
Xiaomei Li
Xiaoyan Xiao
P2860
P304
22561-22586
P356
10.3390/S150922561
P407
P577
2015-09-08T00:00:00Z