Automated Detection of P. falciparum Using Machine Learning Algorithms with Quantitative Phase Images of Unstained Cells
about
Quantitative phase microscopy spatial signatures of cancer cells.Holographic deep learning for rapid optical screening of anthrax spores.Automated analysis of individual sperm cells using stain-free interferometric phase microscopy and machine learning.Holography, machine learning, and cancer cells.Quantitative assessment of cancer cell morphology and motility using telecentric digital holographic microscopy and machine learning.Image analysis and machine learning for detecting malaria.Label-free quantitative evaluation of breast tissue using Spatial Light Interference Microscopy (SLIM).
P2860
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P2860
Automated Detection of P. falciparum Using Machine Learning Algorithms with Quantitative Phase Images of Unstained Cells
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Automated Detection of P. falc ...... hase Images of Unstained Cells
@ast
Automated Detection of P. falc ...... hase Images of Unstained Cells
@en
type
label
Automated Detection of P. falc ...... hase Images of Unstained Cells
@ast
Automated Detection of P. falc ...... hase Images of Unstained Cells
@en
prefLabel
Automated Detection of P. falc ...... hase Images of Unstained Cells
@ast
Automated Detection of P. falc ...... hase Images of Unstained Cells
@en
P2093
P2860
P1433
P1476
Automated Detection of P. falc ...... hase Images of Unstained Cells
@en
P2093
Han Sang Park
Katelyn A Walzer
Matthew T Rinehart
P2860
P304
P356
10.1371/JOURNAL.PONE.0163045
P407
P577
2016-09-16T00:00:00Z