4.3 Article

Classification of Human White Blood Cells Using Machine Learning for Stain-Free Imaging Flow Cytometry

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Review Multidisciplinary Sciences

Opportunities and obstacles for deep learning in biology and medicine

Travers Ching et al.

JOURNAL OF THE ROYAL SOCIETY INTERFACE (2018)

Editorial Material Biotechnology & Applied Microbiology

Diagnostic Potential of Imaging Flow Cytometry

Minh Doan et al.

TRENDS IN BIOTECHNOLOGY (2018)

Article Biochemical Research Methods

Automation of the in vitro micronucleus assay using the Imagestream® imaging flow cytometer

Matthew A. Rodrigues

CYTOMETRY PART A (2018)

Article Multidisciplinary Sciences

Reconstructing cell cycle and disease progression using deep learning

Philipp Eulenberg et al.

NATURE COMMUNICATIONS (2017)

Article Computer Science, Interdisciplinary Applications

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

Sergio Pereira et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)

Review Biochemistry & Molecular Biology

Deep learning for computational biology

Christof Angermueller et al.

MOLECULAR SYSTEMS BIOLOGY (2016)

Article Multidisciplinary Sciences

Label-free cell cycle analysis for high-throughput imaging flow cytometry

Thomas Blasi et al.

NATURE COMMUNICATIONS (2016)

Article Multidisciplinary Sciences

Dynamic label-free imaging of lipid nanodomains

Gabrielle de Wit et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2015)

Letter Biochemical Research Methods

Reporting imaging flow cytometry data for publication: Why mask the detail?

Andrew Filby et al.

CYTOMETRY PART A (2012)

Article Multidisciplinary Sciences

Asymmetric Segregation of Polarized Antigen on B Cell Division Shapes Presentation Capacity

Olivier Thaunat et al.

SCIENCE (2012)

Article Multidisciplinary Sciences

Label-free imaging, detection, and mass measurement of single viruses by surface plasmon resonance

Shaopeng Wang et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2010)

Article Multidisciplinary Sciences

Label-Free Biomedical Imaging with High Sensitivity by Stimulated Raman Scattering Microscopy

Christian W. Freudiger et al.

SCIENCE (2008)

Article Biochemical Research Methods

Gene selection and classification of microarray data using random forest -: art. no. 3

R Díaz-Uriarte et al.

BMC BIOINFORMATICS (2006)

Article Remote Sensing

Random forest classifier for remote sensing classification

M Pal

INTERNATIONAL JOURNAL OF REMOTE SENSING (2005)

Article Computer Science, Interdisciplinary Applications

Stochastic gradient boosting

JH Friedman

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2002)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)