AIMC Topic: Image Interpretation, Computer-Assisted

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Super-resolution recurrent convolutional neural networks for learning with multi-resolution whole slide images.

Journal of biomedical optics Dec 1, 2019
We study a problem scenario of super-resolution (SR) algorithms in the context of whole slide imaging (WSI), a popular imaging modality in digital pathology. Instead of just one pair of high- and low-resolution images, which is typically the setup in...
Histological Techniques Neoplasms Microscopy Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Machine Learning Algorithms
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Corneal thickness measurement by secondary speckle tracking and image processing using machine-learning algorithms.

Journal of biomedical optics Dec 1, 2019
Corneal thickness (CoT) is an important tool in the evaluation process for several disorders and in the assessment of intraocular pressure. We present a method enabling high-precision measurement of CoT based on secondary speckle tracking and process...
Humans Neural Networks, Computer Machine Learning Cornea Middle Aged Image Interpretation, Computer-Assisted Phantoms, Imaging Algorithms Aged Young Adult Adult Corneal Pachymetry
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Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural Networks.

Journal of digital imaging Dec 1, 2019
Statistics show that the risk of autism spectrum disorder (ASD) is increasing in the world. Early diagnosis is most important factor in treatment of ASD. Thus far, the childhood diagnosis of ASD has been done based on clinical interviews and behavior...
Child, Preschool Autism Spectrum Disorder Child Brain Female Brain Mapping Magnetic Resonance Imaging Male Image Interpretation, Computer-Assisted Humans Neuroimaging Neural Networks, Computer
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Deep Learning for Detection of Complete Anterior Cruciate Ligament Tear.

Journal of digital imaging Dec 1, 2019
Deep learning for MRI detection of sports injuries poses unique challenges. To address these difficulties, this study examines the feasibility and incremental benefit of several customized network architectures in evaluation of complete anterior cruc...
Young Adult Adult Image Interpretation, Computer-Assisted Humans Sensitivity and Specificity Anterior Cruciate Ligament Injuries Retrospective Studies Male Anterior Cruciate Ligament Deep Learning Female Adolescent Reproducibility of Results Athletic Injuries Magnetic Resonance Imaging Knee Joint
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Histogram analysis of absolute cerebral blood volume map can distinguish glioblastoma from solitary brain metastasis.

Medicine Oct 1, 2019
Glioblastoma multiforme (GBM) is difficult to be separated from solitary brain metastasis (sBM) in clinical practice. This study aimed to distinguish two entities by the histogram analysis of absolute cerebral blood volume (CBV) map.From March 2016 t...
Middle Aged Female Predictive Value of Tests ROC Curve Aged Glioblastoma Diagnosis, Differential Brain Neoplasms Image Interpretation, Computer-Assisted Humans Male Cerebral Blood Volume Machine Learning Retrospective Studies
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Automated A-line coronary plaque classification of intravascular optical coherence tomography images using handcrafted features and large datasets.

Journal of biomedical optics Oct 1, 2019
We developed machine learning methods to identify fibrolipidic and fibrocalcific A-lines in intravascular optical coherence tomography (IVOCT) images using a comprehensive set of handcrafted features. We incorporated features developed in previous st...
Databases, Factual Support Vector Machine Tomography, Optical Coherence Coronary Artery Disease Image Interpretation, Computer-Assisted Humans Coronary Vessels Machine Learning Endovascular Procedures Algorithms Plaque, Atherosclerotic
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Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images.

Investigative radiology Oct 1, 2019
OBJECTIVES: The objective of this study is to assess the performance of a computer-aided diagnosis (CAD) system (INTACT system) for the automatic classification of high-resolution computed tomography images into 4 radiological diagnostic categories a...
Lung Diagnosis, Computer-Assisted Deep Learning Biopsy Pulmonary Fibrosis Image Interpretation, Computer-Assisted Aged, 80 and over Sensitivity and Specificity Male Middle Aged Female Reproducibility of Results Aged Humans Algorithms Retrospective Studies Tomography, X-Ray Computed
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Computational pathology and the understanding of disease.

The Journal of pathology Oct 1, 2019
Humans Predictive Value of Tests Artificial Intelligence Periodicals as Topic Editorial Policies Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Pathology
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Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography.

Journal of digital imaging Oct 1, 2019
Aneurysm size correlates with rupture risk and is important for treatment planning. User annotation of aneurysm size is slow and tedious, particularly for large data sets. Geometric shortcuts to compute size have been shown to be inaccurate, particul...
Magnetic Resonance Angiography Cerebral Angiography Intracranial Aneurysm Humans Neural Networks, Computer Retrospective Studies Image Interpretation, Computer-Assisted
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A Deep Learning-Based Approach for the Detection and Localization of Prostate Cancer in T2 Magnetic Resonance Images.

Journal of digital imaging Oct 1, 2019
We address the problem of prostate lesion detection, localization, and segmentation in T2W magnetic resonance (MR) images. We train a deep convolutional encoder-decoder architecture to simultaneously segment the prostate, its anatomical structure, an...
Humans Prostatic Neoplasms Aged Prostate Aged, 80 and over Adult Male Image Interpretation, Computer-Assisted Middle Aged Deep Learning Magnetic Resonance Imaging
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