AIMC Topic: Algorithms

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Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches.

IEEE transactions on medical imaging Jan 23, 2019
Risk stratification (characterization) of tumors from radiology images can be more accurate and faster with computer-aided diagnosis (CAD) tools. Tumor characterization through such tools can also enable non-invasive cancer staging, prognosis, and fo...
Lung Neoplasms Unsupervised Machine Learning Pancreatic Neoplasms Image Interpretation, Computer-Assisted Humans Algorithms Deep Learning Imaging, Three-Dimensional
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KeratoDetect: Keratoconus Detection Algorithm Using Convolutional Neural Networks.

Computational intelligence and neuroscience Jan 23, 2019
Keratoconus (KTC) is a noninflammatory disorder characterized by progressive thinning, corneal deformation, and scarring of the cornea. The pathological mechanisms of this condition have been investigated for a long time. In recent years, this diseas...
Humans Cornea Keratoconus Neural Networks, Computer Corneal Topography Algorithms Pattern Recognition, Automated
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Intervening Nidal Brain Parenchyma and Risk of Radiation-Induced Changes After Radiosurgery for Brain Arteriovenous Malformation: A Study Using an Unsupervised Machine Learning Algorithm.

World neurosurgery Jan 22, 2019
OBJECTIVE: To assess the sensitivity and specificity of arteriovenous malformation (AVM) nidal component identification and quantification using an unsupervised machine learning algorithm and to evaluate the association between intervening nidal brai...
Radiation Injuries Intracranial Arteriovenous Malformations Parenchymal Tissue Adolescent Young Adult Brain Child Adult Female Unsupervised Machine Learning Humans Male Risk Factors Radiosurgery Algorithms Middle Aged Aged Prospective Studies
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Emerging Applications of Artificial Intelligence in Neuro-Oncology.

Radiology Jan 22, 2019
Due to the exponential growth of computational algorithms, artificial intelligence (AI) methods are poised to improve the precision of diagnostic and therapeutic methods in medicine. The field of radiomics in neuro-oncology has been and will likely c...
Precision Medicine Tumor Microenvironment Biomarkers, Tumor Brain Neoplasms Humans Artificial Intelligence Algorithms Magnetic Resonance Imaging Radiology
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Identification of D Modification Sites by Integrating Heterogeneous Features in .

Molecules (Basel, Switzerland) Jan 22, 2019
As an abundant post-transcriptional modification, dihydrouridine (D) has been found in transfer RNA (tRNA) from bacteria, eukaryotes, and archaea. Nonetheless, knowledge of the exact biochemical roles of dihydrouridine in mediating tRNA function is s...
Algorithms Reproducibility of Results Nucleic Acid Conformation Support Vector Machine Saccharomyces cerevisiae Chemical Phenomena RNA, Transfer Uridine
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Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence.

Biomedical engineering online Jan 22, 2019
BACKGROUND: A deep learning computer artificial intelligence system is helpful for early identification of ground glass opacities (GGOs).
Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Solitary Pulmonary Nodule Radiology Radiographic Image Interpretation, Computer-Assisted False Positive Reactions Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Lung Humans Algorithms Databases, Factual
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Deep Convolutional Neural Networks for Heart Sound Segmentation.

IEEE journal of biomedical and health informatics Jan 21, 2019
This paper studies the use of deep convolutional neural networks to segment heart sounds into their main components. The proposed methods are based on the adoption of a deep convolutional neural network architecture, which is inspired by similar appr...
Databases, Factual Signal Processing, Computer-Assisted Markov Chains Heart Sounds Humans Neural Networks, Computer Algorithms Phonocardiography
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Parallel imaging in time-of-flight magnetic resonance angiography using deep multistream convolutional neural networks.

Magnetic resonance in medicine Jan 21, 2019
PURPOSE: To develop and evaluate a method of parallel imaging time-of-flight (TOF) MRA using deep multistream convolutional neural networks (CNNs).
Magnetic Resonance Angiography Algorithms Humans Cerebral Angiography Brain Deep Learning Image Processing, Computer-Assisted
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Incorporation of a spectral model in a convolutional neural network for accelerated spectral fitting.

Magnetic resonance in medicine Jan 21, 2019
PURPOSE: MRSI has shown great promise in the detection and monitoring of neurologic pathologies such as tumor. A necessary component of data processing includes the quantitation of each metabolite, typically done through fitting a model of the spectr...
Humans Models, Theoretical Neural Networks, Computer Brain Mapping Software Glioblastoma Algorithms Choline Databases, Factual Artifacts Aspartic Acid Brain Neoplasms Deep Learning Signal-To-Noise Ratio Computer Graphics User-Computer Interface White Matter Creatine Image Processing, Computer-Assisted Magnetic Resonance Spectroscopy Echo-Planar Imaging
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Dermoscopy diagnosis of cancerous lesions utilizing dual deep learning algorithms via visual and audio (sonification) outputs: Laboratory and prospective observational studies.

EBioMedicine Jan 20, 2019
BACKGROUND: Early diagnosis of skin cancer lesions by dermoscopy, the gold standard in dermatological imaging, calls for a diagnostic upscale. The aim of the study was to improve the accuracy of dermoscopic skin cancer diagnosis through use of novel ...
Humans Artificial Intelligence Algorithms Retrospective Studies Male Middle Aged Deep Learning Adolescent ROC Curve Skin Sound Telemedicine Aged Female Aged, 80 and over Skin Neoplasms Young Adult Dermoscopy Adult
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