AIMC Journal:
Medical image analysis

Showing 541 to 550 of 697 articles

TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set.

Medical image analysis Jun 26, 2019
We propose a new deep learning approach for medical imaging that copes with the problem of a small training set, the main bottleneck of deep learning, and apply it for classification of healthy and cancer cell lines acquired by quantitative phase ima...
Cell Tracking Microscopy Holography Algorithms Neoplasms Image Processing, Computer-Assisted Equipment Design Humans Deep Learning
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Cell mitosis event analysis in phase contrast microscopy images using deep learning.

Medical image analysis Jun 22, 2019
In this paper, we solve the problem of mitosis event localization and its stage localization in time-lapse phase-contrast microscopy images. Our method contains three steps: first, we formulate a Low-Rank Matrix Recovery (LRMR) model to find salient ...
Microscopy, Phase-Contrast Cell Tracking Deep Learning Mesenchymal Stem Cells Image Enhancement Mitosis Artifacts Neural Networks, Computer
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Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network.

Medical image analysis Jun 20, 2019
This paper presents a method for automatic breast pectoral muscle segmentation in mediolateral oblique mammograms using a Convolutional Neural Network (CNN) inspired by the Holistically-nested Edge Detection (HED) network. Most of the existing method...
Humans Neural Networks, Computer Female Mammography Anatomic Landmarks Radiographic Image Interpretation, Computer-Assisted Breast Neoplasms Diagnosis, Computer-Assisted Pectoralis Muscles
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Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification.

Medical image analysis Jun 12, 2019
A novel method to detect and classify several classes of diseased and healthy lung tissue in CT (Computed Tomography), based on the fusion of Riesz and deep learning features, is presented. First, discriminative parametric lung tissue texture signatu...
Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Datasets as Topic Humans Reproducibility of Results Lung Diseases Deep Learning
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Convolutional sparse kernel network for unsupervised medical image analysis.

Medical image analysis Jun 12, 2019
The availability of large-scale annotated image datasets and recent advances in supervised deep learning methods enable the end-to-end derivation of representative image features that can impact a variety of image analysis problems. Such supervised a...
Humans Supervised Machine Learning Image Processing, Computer-Assisted Unsupervised Machine Learning Diagnostic Imaging
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Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow.

Medical image analysis Jun 6, 2019
We propose a method to classify cardiac pathology based on a novel approach to extract image derived features to characterize the shape and motion of the heart. An original semi-supervised learning procedure, which makes efficient use of a large amou...
Humans Heart Diseases Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Supervised Machine Learning Magnetic Resonance Imaging, Cine Motion
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BACH: Grand challenge on breast cancer histology images.

Medical image analysis May 31, 2019
Breast cancer is the most common invasive cancer in women, affecting more than 10% of women worldwide. Microscopic analysis of a biopsy remains one of the most important methods to diagnose the type of breast cancer. This requires specialized analysi...
Breast Neoplasms Algorithms Pattern Recognition, Automated Staining and Labeling Humans Female Microscopy Neural Networks, Computer
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Tensor decomposition of hyperspectral images to study autofluorescence in age-related macular degeneration.

Medical image analysis May 31, 2019
Autofluorescence is the emission of light by naturally occurring tissue components on the absorption of incident light. Autofluorescence within the eye is associated with several disorders, such as Age-related Macular Degeneration (AMD) which is a le...
Unsupervised Machine Learning Humans Imaging, Three-Dimensional Models, Statistical Microscopy, Fluorescence Macular Degeneration
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GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation.

Medical image analysis May 31, 2019
Cell segmentation in microscopy images is a common and challenging task. In recent years, deep neural networks achieved remarkable improvements in the field of computer vision. The dominant paradigm in segmentation is using convolutional neural netwo...
Image Processing, Computer-Assisted Cytological Techniques Microscopy Models, Statistical Glioblastoma Humans Neural Networks, Computer
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Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation.

Medical image analysis May 25, 2019
Population imaging studies generate data for developing and implementing personalised health strategies to prevent, or more effectively treat disease. Large prospective epidemiological studies acquire imaging for pre-symptomatic populations. These st...
Pattern Recognition, Automated Image Interpretation, Computer-Assisted Heart Ventricles Magnetic Resonance Imaging, Cine United Kingdom Male Neural Networks, Computer Models, Statistical Humans Biological Specimen Banks Imaging, Three-Dimensional Female
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