AIMC Topic: Histocytochemistry

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Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images.

Scientific reports Jun 6, 2016
Content-based image retrieval (CBIR) retrieves database images most similar to the query image by (1) extracting quantitative image descriptors and (2) calculating similarity between database and query image descriptors. Recently, manifold learning (...
Histocytochemistry Male Image Processing, Computer-Assisted Prostatic Neoplasms Humans Machine Learning
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AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images.

IEEE transactions on medical imaging Feb 11, 2016
The lack of publicly available ground-truth data has been identified as the major challenge for transferring recent developments in deep learning to the biomedical imaging domain. Though crowdsourcing has enabled annotation of large scale databases f...
Video Games Internet Image Interpretation, Computer-Assisted Mitosis Crowdsourcing Histocytochemistry Machine Learning Female Breast Neoplasms Humans Neural Networks, Computer
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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...
Neural Networks, Computer Machine Learning Colon Humans Image Interpretation, Computer-Assisted Cell Nucleus Histocytochemistry Cell Proliferation Colonic Neoplasms
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Histopathological Image Classification Using Discriminative Feature-Oriented Dictionary Learning.

IEEE transactions on medical imaging Oct 26, 2015
In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as presence of rich geometrical structures. In this paper, we propose an aut...
Neoplasms Lung Kidney Histocytochemistry Image Processing, Computer-Assisted Humans Machine Learning
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Fusing Heterogeneous Features From Stacked Sparse Autoencoder for Histopathological Image Analysis.

IEEE journal of biomedical and health informatics Jul 29, 2015
In the analysis of histopathological images, both holistic (e.g., architecture features) and local appearance features demonstrate excellent performance, while their accuracy may vary dramatically when providing different inputs. This motivates us to...
Machine Learning Algorithms Breast Neoplasms Breast Female Humans Histocytochemistry Image Interpretation, Computer-Assisted Cell Nucleus
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Geometric-attributes-based segmentation of cortical bone slides using optimized neural networks.

Journal of bone and mineral metabolism Jun 24, 2015
In cortical bone, solid (lamellar and interstitial) matrix occupies space left over by porous microfeatures such as Haversian canals, lacunae, and canaliculi-containing clusters. In this work, pulse-coupled neural networks (PCNN) were used to automat...
Histocytochemistry Cortical Bone Cattle Image Processing, Computer-Assisted Neural Networks, Computer Female Animals
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Adversarial Stain Transfer for Histopathology Image Analysis.

IEEE transactions on medical imaging Mar 1, 2018
It is generally recognized that color information is central to the automatic and visual analysis of histopathology tissue slides. In practice, pathologists rely on color, which reflects the presence of specific tissue components, to establish a diag...
Histocytochemistry Staining and Labeling Image Interpretation, Computer-Assisted Humans Neoplasms Image Processing, Computer-Assisted Machine Learning
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Feature-Based Representation Improves Color Decomposition and Nuclear Detection Using a Convolutional Neural Network.

IEEE transactions on bio-medical engineering Mar 1, 2018
Detection of nuclei is an important step in phenotypic profiling of 1) histology sections imaged in bright field; and 2) colony formation of the 3-D cell culture models that are imaged using confocal microscopy. It is shown that feature-based represe...
Humans Neural Networks, Computer Microscopy, Fluorescence Cell Nucleus Histocytochemistry Imaging, Three-Dimensional Cell Line
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The Spontaneous Control of HIV Replication is Characterized by Decreased Pathological Changes in the Gut-associated Lymphoid Tissue.

Current HIV research Jan 1, 2018
BACKGROUND: HIV infection induces alterations in the gut-associated lymphoid tissue (GALT) that constitutes the most important site for viral replication due to the extensive presence of effector memory T-cells. In the case of HIV-controllers, severa...
Male Young Adult Gastrointestinal Tract Humans Middle Aged Adult HIV Long-Term Survivors Staining and Labeling Female Lymphoid Tissue HIV Histocytochemistry HIV Infections Biopsy Microscopy Virus Replication
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