[PDF][PDF] CellClassifier: supervised learning of cellular phenotypes
CellClassifier is a tool for classifying single-cell phenotypes in microscope images. It
includes several unique and user-friendly features for classification using multiclass support …
includes several unique and user-friendly features for classification using multiclass support …
Enhanced CellClassifier: a multi-class classification tool for microscopy images
B Misselwitz, G Strittmatter, B Periaswamy… - BMC …, 2010 - Springer
Background Light microscopy is of central importance in cell biology. The recent introduction
of automated high content screening has expanded this technology towards automation of …
of automated high content screening has expanded this technology towards automation of …
Fast automated cell phenotype image classification
NA Hamilton, RS Pantelic, K Hanson, RD Teasdale - BMC bioinformatics, 2007 - Springer
Background The genomic revolution has led to rapid growth in sequencing of genes and
proteins, and attention is now turning to the function of the encoded proteins. In this respect …
proteins, and attention is now turning to the function of the encoded proteins. In this respect …
[HTML][HTML] Machine learning and computer vision approaches for phenotypic profiling
With recent advances in high-throughput, automated microscopy, there has been an
increased demand for effective computational strategies to analyze large-scale, image …
increased demand for effective computational strategies to analyze large-scale, image …
Automated cell type discovery and classification through knowledge transfer
Motivation Recent advances in mass cytometry allow simultaneous measurements of up to
50 markers at single-cell resolution. However, the high dimensionality of mass cytometry …
50 markers at single-cell resolution. However, the high dimensionality of mass cytometry …
A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells
Motivation: Assessment of protein subcellular location is crucial to proteomics efforts since
localization information provides a context for a protein's sequence, structure, and function …
localization information provides a context for a protein's sequence, structure, and function …
Novel cell segmentation and online SVM for cell cycle phase identification in automated microscopy
Motivation: Automated identification of cell cycle phases captured via fluorescent microscopy
is very important for understanding cell cycle and for drug discovery. In this article, we …
is very important for understanding cell cycle and for drug discovery. In this article, we …
The application of support vector machine classification to detect cell nuclei for automated microscopy
JW Han, TP Breckon, DA Randell, G Landini - Machine Vision and …, 2012 - Springer
The detection of cell nuclei for diagnostic purposes is an important aspect of many medical
laboratory examinations. Precise location of cell nuclei can aid in correct diagnosis and aid …
laboratory examinations. Precise location of cell nuclei can aid in correct diagnosis and aid …
Large-scale multi-class image-based cell classification with deep learning
Recent advances in ultra-high-throughput microscopy have enabled a new generation of
cell classification methodologies using image-based cell phenotypes alone. In contrast to …
cell classification methodologies using image-based cell phenotypes alone. In contrast to …
A review on cell detection and segmentation in microscopic images
RM Thomas, J John - 2017 International Conference on Circuit …, 2017 - ieeexplore.ieee.org
Image analysis of cells and tissues is an important area of research, since it forms a basis for
large number of biomedical applications. Many complexities such as heterogeneous shape …
large number of biomedical applications. Many complexities such as heterogeneous shape …