AIMC Topic: Molecular Imaging

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LeukocyteMask: An automated localization and segmentation method for leukocyte in blood smear images using deep neural networks.

Journal of biophotonics Apr 10, 2019
Digital pathology and microscope image analysis is widely used in comprehensive studies of cell morphology. Identification and analysis of leukocytes in blood smear images, acquired from bright field microscope, are vital for diagnosing many diseases...
Humans Molecular Imaging Automation Deep Learning Cell Adhesion Image Processing, Computer-Assisted Leukocytes
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Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module.

PloS one Mar 29, 2019
Although successful detection of malignant tumors from histopathological images largely depends on the long-term experience of radiologists, experts sometimes disagree with their decisions. Computer-aided diagnosis provides a second option for image ...
Image Processing, Computer-Assisted Molecular Imaging Neural Networks, Computer Humans Breast Neoplasms
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MALDI-Imaging for Classification of Epithelial Ovarian Cancer Histotypes from a Tissue Microarray Using Machine Learning Methods.

Proteomics. Clinical applications Dec 14, 2018
PURPOSE: Precise histological classification of epithelial ovarian cancer (EOC) has immanent diagnostic and therapeutic consequences, but remains challenging in histological routine. The aim of this pilot study is to examine the potential of matrix-a...
Humans Machine Learning Female Carcinoma, Ovarian Epithelial Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Molecular Imaging Support Vector Machine Tissue Array Analysis Ovarian Neoplasms Linear Energy Transfer Discriminant Analysis Middle Aged Proteomics
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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...
Cytological Techniques Microscopy Molecular Imaging Image Processing, Computer-Assisted Unsupervised Machine Learning Video Recording Pattern Recognition, Automated Aorta Neural Networks, Computer Cells, Cultured Animals Cattle
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Combining Desorption Electrospray Ionization Mass Spectrometry Imaging and Machine Learning for Molecular Recognition of Myocardial Infarction.

Analytical chemistry Sep 25, 2018
Lipid profile changes in heart muscle have been previously linked to cardiac ischemia and myocardial infarction, but the spatial distribution of lipids and metabolites in ischemic heart remains to be fully investigated. We performed desorption electr...
Molecular Imaging Fatty Acids, Unsaturated Molecular Structure Animals Myocardial Infarction Mice Spectrometry, Mass, Electrospray Ionization Machine Learning Female
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Molecular imaging with neural training of identification algorithm (neural network localization identification).

Microscopy research and technique Sep 22, 2018
Superresolution localization microscopy strongly relies on robust identification algorithms for accurate reconstruction of the biological systems it is used to measure. The fields of machine learning and computer vision have provided promising soluti...
Algorithms Image Processing, Computer-Assisted Microscopy, Fluorescence Molecular Imaging Neural Networks, Computer Machine Learning
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Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning.

PloS one Apr 12, 2018
The World Health Organization (WHO) has clear guidelines regarding the use of Ki67 index in defining the proliferative rate and assigning grade for pancreatic neuroendocrine tumor (NET). WHO mandates the quantification of Ki67 index by counting at le...
Molecular Imaging Neuroendocrine Tumors Ki-67 Antigen Image Processing, Computer-Assisted Humans Pancreatic Neoplasms Machine Learning
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SetSVM: An Approach to Set Classification in Nuclei-Based Cancer Detection.

IEEE journal of biomedical and health informatics Feb 8, 2018
Due to the importance of nuclear structure in cancer diagnosis, several predictive models have been described for diagnosing a wide variety of cancers based on nuclear morphology. In many computer-aided diagnosis (CAD) systems, cancer detection tasks...
Humans Databases, Factual Neoplasms Histocytochemistry Support Vector Machine Image Interpretation, Computer-Assisted Microscopy Cell Nucleus Molecular Imaging
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Application of Deep Learning in Automated Analysis of Molecular Images in Cancer: A Survey.

Contrast media & molecular imaging Oct 15, 2017
Molecular imaging enables the visualization and quantitative analysis of the alterations of biological procedures at molecular and/or cellular level, which is of great significance for early detection of cancer. In recent years, deep leaning has been...
Molecular Imaging Humans Animals Machine Learning Neoplasms Image Processing, Computer-Assisted
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Nano-topography Enhances Communication in Neural Cells Networks.

Scientific reports Aug 29, 2017
Neural cells are the smallest building blocks of the central and peripheral nervous systems. Information in neural networks and cell-substrate interactions have been heretofore studied separately. Understanding whether surface nano-topography can dir...
Microscopy, Fluorescence Cell Communication Neurons Animals Mice Neural Networks, Computer Nerve Net Cells, Cultured Calcium Pregnancy Molecular Imaging Female Microscopy, Atomic Force
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