AIMC Topic: Cytological Techniques

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Blood Cell Classification Based on Hyperspectral Imaging With Modulated Gabor and CNN.

IEEE journal of biomedical and health informatics Mar 18, 2019
Cell classification, especially that of white blood cells, plays a very important role in the field of diagnosis and control of major diseases. Compared to traditional optical microscopic imaging, hyperspectral imagery, combined with both spatial and...
Humans Neural Networks, Computer Microscopy Blood Cells Wavelet Analysis Algorithms Image Processing, Computer-Assisted Cytological Techniques
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Evaluation of Machine Learning Classifiers to Predict Compound Mechanism of Action When Transferred across Distinct Cell Lines.

SLAS discovery : advancing life sciences R & D Jan 29, 2019
Multiparametric high-content imaging assays have become established to classify cell phenotypes from functional genomic and small-molecule library screening assays. Several groups have implemented machine learning classifiers to predict the mechanism...
Cytological Techniques Neural Networks, Computer Machine Learning Cell Line, Tumor Humans
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Cell Segmentation Using a Similarity Interface With a Multi-Task Convolutional Neural Network.

IEEE journal of biomedical and health informatics Dec 7, 2018
Even though convolutional neural networks (CNN) have been used for cell segmentation, they require pixel-level ground truth annotations. This paper proposes a multitask learning algorithm for cell detection and segmentation using CNNs. We use dot ann...
Mice Unsupervised Machine Learning CHO Cells Animals Image Processing, Computer-Assisted Cricetinae Cricetulus Cytological Techniques HeLa Cells Humans Neural Networks, Computer Algorithms
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Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns.

IEEE transactions on medical imaging Dec 7, 2018
Automatic event detection in cell videos is essential for monitoring cell populations in biomedicine. Deep learning methods have advantages over traditional approaches for cell event detection due to their ability to capture more discriminative featu...
Neural Networks, Computer Cells, Cultured Microscopy Molecular Imaging Video Recording Image Processing, Computer-Assisted Pattern Recognition, Automated Animals Unsupervised Machine Learning Aorta Cattle Cytological Techniques
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Nasal cytology with deep learning techniques.

International journal of medical informatics Nov 30, 2018
BACKGROUND: In recent years, cytological observations in the Rhinology field are being increasingly utilized. This development has taken place over the last two decades and has proven to be fundamental in defining new nosological entities and in driv...
Neural Networks, Computer Humans Deep Learning Cytological Techniques Image Processing, Computer-Assisted Nasal Mucosa
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Machine learning based classification of cells into chronological stages using single-cell transcriptomics.

Scientific reports Nov 21, 2018
Age-associated deterioration of cellular physiology leads to pathological conditions. The ability to detect premature aging could provide a window for preventive therapies against age-related diseases. However, the techniques for determining cellular...
Cytological Techniques Zebrafish Insulin-Secreting Cells Gene Expression Profiling Single-Cell Analysis Age Factors Machine Learning Animals Humans
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Large-Scale Multi-Class Image-Based Cell Classification With Deep Learning.

IEEE journal of biomedical and health informatics Oct 31, 2018
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 current single-cell analysis techniques that rely solely on slow and costly...
Humans Algorithms Databases, Factual Microscopy Deep Learning Image Processing, Computer-Assisted Cells Cytological Techniques
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Cell Segmentation Based on FOPSO Combined With Shape Information Improved Intuitionistic FCM.

IEEE journal of biomedical and health informatics Feb 6, 2018
Fuzzy c-means (FCM) clustering algorithms have been proved to be effective image segmentation techniques. However, FCM clustering algorithms are sensitive to noises and initialization. They cannot effectively segment cell images with inhomogeneous gr...
HeLa Cells Humans Pattern Recognition, Automated Fuzzy Logic Cluster Analysis Cytological Techniques Algorithms Image Processing, Computer-Assisted
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Automated Training of Deep Convolutional Neural Networks for Cell Segmentation.

Scientific reports Aug 10, 2017
Deep Convolutional Neural Networks (DCNN) have recently emerged as superior for many image segmentation tasks. The DCNN performance is however heavily dependent on the availability of large amounts of problem-specific training samples. Here we show t...
Humans Neural Networks, Computer Machine Learning Automation, Laboratory Cell Line, Tumor Cytological Techniques Image Processing, Computer-Assisted Intravital Microscopy
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Efficient and robust cell detection: A structured regression approach.

Medical image analysis Jul 26, 2017
Efficient and robust cell detection serves as a critical prerequisite for many subsequent biomedical image analysis methods and computer-aided diagnosis (CAD). It remains a challenging task due to touching cells, inhomogeneous background noise, and l...
Sensitivity and Specificity Algorithms Bone Marrow Cells Breast Neoplasms Neuroendocrine Tumors Female Humans Uterine Cervical Neoplasms Reproducibility of Results Neural Networks, Computer Diagnosis, Computer-Assisted Deep Learning Cytological Techniques
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