AIMC Topic: Cell Nucleus

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mRNALoc: a novel machine-learning based in-silico tool to predict mRNA subcellular localization.

Nucleic acids research Jul 2, 2020
Recent evidences suggest that the localization of mRNAs near the subcellular compartment of the translated proteins is a more robust cellular tool, which optimizes protein expression, post-transcriptionally. Retention of mRNA in the nucleus can regul...
Computer Simulation RNA, Messenger Sequence Analysis, RNA Software Cell Nucleus Cytoplasm Endoplasmic Reticulum Support Vector Machine Mitochondria
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Interphase Cell Cycle Staging using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
The progression of cells through the cell cycle is a tightly regulated process and is known to be key in maintaining normal tissue architecture and function. Disruption of these orchestrated phases will result in alterations that can lead to many dis...
Cell Nucleus Interphase Deep Learning Cell Cycle Cell Division
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Combining Deep Learning with Handcrafted Features for Cell Nuclei Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Segmentation of cell nuclei in fluorescence microscopy images provides valuable information about the shape and size of the nuclei, its chromatin texture and DNA content. It has many applications such as cell tracking, counting and classification. In...
Chromatin Microscopy, Fluorescence Deep Learning Algorithms Cell Nucleus
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Deep learning takes on tumours.

Nature Apr 1, 2020
Humans Software Breast Neoplasms Lung Neoplasms Drug Evaluation, Preclinical Datasets as Topic Neoplasms Deep Learning Cell Nucleus
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Multimodal Medical Image Fusion using Rolling Guidance Filter with CNN and Nuclear Norm Minimization.

Current medical imaging Jan 1, 2020
BACKGROUND: Medical image fusion is very important for the diagnosis and treatment of diseases. In recent years, there have been a number of different multi-modal medical image fusion algorithms that can provide delicate contexts for disease diagnosi...
Artifacts Cell Nucleus Algorithms Image Processing, Computer-Assisted Neural Networks, Computer
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Refinement of Convolutional Neural Network Based Cell Nuclei Detection Using Bayesian Inference.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Cytological samples provide useful data for cancer diagnostics but their visual analysis under a microscope is tedious and time-consuming. Moreover, some scientific tests indicate that various pathologists can classify the same sample differently or ...
Image Processing, Computer-Assisted Bayes Theorem Humans Cell Nucleus Neural Networks, Computer Breast Neoplasms
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An Effective Encoder-Decoder Network for Neural Cell Bodies and Cell Nucleus Segmentation of EM Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Neural systems are complicated networks connected by a large number of neurons through gap junctions and synapse. At present, for electron microscopy connectomics research, neuron structure recognition algorithms mostly focus on synapses, dendrites, ...
Microscopy, Electron Cell Body Neurons Cell Nucleus Humans Algorithms Neural Networks, Computer Image Processing, Computer-Assisted
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A Systems Toxicology Approach for the Prediction of Kidney Toxicity and Its Mechanisms In Vitro.

Toxicological sciences : an official journal of the Society of Toxicology May 1, 2019
The failure to predict kidney toxicity of new chemical entities early in the development process before they reach humans remains a critical issue. Here, we used primary human kidney cells and applied a systems biology approach that combines multidim...
Cells, Cultured Humans Databases, Factual Machine Learning Risk Assessment Cell Nucleus Data Mining Toxicology Systems Biology Gene Expression Regulation Primary Cell Culture Cell Shape Heme Oxygenase-1 Kidney Diseases Kidney Tubules, Proximal Sequestosome-1 Protein
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Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map.

IEEE transactions on medical imaging Feb 1, 2019
The advent of digital pathology provides us with the challenging opportunity to automatically analyze whole slides of diseased tissue in order to derive quantitative profiles that can be used for diagnosis and prognosis tasks. In particular, for the ...
Image Interpretation, Computer-Assisted Cell Nucleus Histological Techniques Neoplasms Deep Learning Humans Databases, Factual
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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...
Microscopy, Fluorescence Cell Nucleus Histocytochemistry Imaging, Three-Dimensional Humans Cell Line Neural Networks, Computer
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