AIMC Topic: Cell Nucleus

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De novo prediction of human chromosome structures: Epigenetic marking patterns encode genome architecture.

Proceedings of the National Academy of Sciences of the United States of America Oct 31, 2017
Inside the cell nucleus, genomes fold into organized structures that are characteristic of cell type. Here, we show that this chromatin architecture can be predicted de novo using epigenetic data derived from chromatin immunoprecipitation-sequencing ...
Humans Neural Networks, Computer Animals Epigenesis, Genetic Thermodynamics Phase Transition Chromatin Chromosomes, Human In Situ Hybridization, Fluorescence Cell Nucleus Genome, Human Molecular Conformation
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Breast cancer cell nuclei classification in histopathology images using deep neural networks.

International journal of computer assisted radiology and surgery Aug 31, 2017
PURPOSE: Cell nuclei classification in breast cancer histopathology images plays an important role in effective diagnose since breast cancer can often be characterized by its expression in cell nuclei. However, due to the small and variant sizes of c...
Humans Diagnosis, Computer-Assisted Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning Algorithms Cell Nucleus Software Female Reproducibility of Results Breast Neoplasms
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Metastasis detection from whole slide images using local features and random forests.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Apr 20, 2017
Digital pathology has led to a demand for automated detection of regions of interest, such as cancerous tissue, from scanned whole slide images. With accurate methods using image analysis and machine learning, significant speed-up, and savings in cos...
Humans Machine Learning Middle Aged ROC Curve Lymph Nodes Lymphatic Metastasis Software Female Adult Breast Neoplasms Cell Nucleus Histocytochemistry Eosine Yellowish-(YS) Area Under Curve Hematoxylin Lymphocytes Image Interpretation, Computer-Assisted
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Two-phase deep convolutional neural network for reducing class skewness in histopathological images based breast cancer detection.

Computers in biology and medicine Apr 18, 2017
Different types of breast cancer are affecting lives of women across the world. Common types include Ductal carcinoma in situ (DCIS), Invasive ductal carcinoma (IDC), Tubular carcinoma, Medullary carcinoma, and Invasive lobular carcinoma (ILC). While...
Histocytochemistry Mitosis ROC Curve Image Interpretation, Computer-Assisted Cell Nucleus Humans Neural Networks, Computer Machine Learning Algorithms Female Breast Neoplasms
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A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology.

IEEE transactions on medical imaging Mar 6, 2017
Nuclear segmentation in digital microscopic tissue images can enable extraction of high-quality features for nuclear morphometrics and other analysis in computational pathology. Conventional image processing techniques, such as Otsu thresholding and ...
Staining and Labeling Cell Nucleus Humans Machine Learning Algorithms Image Processing, Computer-Assisted
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A new thresholding technique based on fuzzy set as an application to leukocyte nucleus segmentation.

Computer methods and programs in biomedicine Jul 9, 2016
BACKGROUND AND OBJECTIVES: The main aim of this paper is to segment leukocytes in blood smear images using interval-valued intuitionistic fuzzy sets (IVIFSs). Generally, uncertainties occur in terms of vagueness through brightness levels of image. Pr...
Cluster Analysis Leukocytes Cell Nucleus Neural Networks, Computer Fuzzy Logic
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Nuquantus: Machine learning software for the characterization and quantification of cell nuclei in complex immunofluorescent tissue images.

Scientific reports Mar 23, 2016
Determination of fundamental mechanisms of disease often hinges on histopathology visualization and quantitative image analysis. Currently, the analysis of multi-channel fluorescence tissue images is primarily achieved by manual measurements of tissu...
Microscopy, Confocal Machine Learning Cell Proliferation Humans Software Cell Survival Cell Nucleus Animals Myocytes, Cardiac Fluorescent Antibody Technique Image Processing, Computer-Assisted
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Genes with high penetrance for syndromic and non-syndromic autism typically function within the nucleus and regulate gene expression.

Molecular autism Mar 15, 2016
BACKGROUND: Intellectual disability (ID), autism, and epilepsy share frequent yet variable comorbidities with one another. In order to better understand potential genetic divergence underlying this variable risk, we studied genes responsible for mono...
Penetrance Neurogenesis Intellectual Disability Autism Spectrum Disorder Body Patterning Comorbidity Chromatin Assembly and Disassembly Protein Interaction Maps Autistic Disorder Genetic Association Studies Epilepsy Risk Epigenomics Humans Syndrome Gene Ontology Nuclear Proteins Cell Nucleus Databases, Genetic Gene Expression Regulation Nerve Tissue Proteins
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Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images.

IEEE transactions on medical imaging Feb 4, 2016
Detection and classification of cell nuclei in histopathology images of cancerous tissue stained with the standard hematoxylin and eosin stain is a challenging task due to cellular heterogeneity. Deep learning approaches have been shown to produce en...
Humans Neural Networks, Computer Machine Learning Colon Cell Proliferation Colonic Neoplasms Image Interpretation, Computer-Assisted Cell Nucleus Histocytochemistry
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Quantifying co-cultured cell phenotypes in high-throughput using pixel-based classification.

Methods (San Diego, Calif.) Dec 11, 2015
Biologists increasingly use co-culture systems in which two or more cell types are grown in cell culture together in order to better model cells' native microenvironments. Co-cultures are often required for cell survival or proliferation, or to maint...
Cell Nucleus Mice Primary Cell Culture Algorithms Fibroblasts Hepatocytes Humans Phenotype Cell Line High-Throughput Screening Assays Animals Machine Learning Cell Survival Coculture Techniques Image Processing, Computer-Assisted Software Pattern Recognition, Automated
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