AIMC Topic: Deep Learning

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Perceptual dissociations among views of objects, scenes, and reachable spaces.

Journal of experimental psychology. Human perception and performance Jun 1, 2019
In everyday experience, we interact with objects and we navigate through space. Extensive research has revealed that these visual behaviors are mediated by separable object-based and scene-based processing mechanisms in the mind and brain. However, w...
Adult Deep Learning Adolescent Reaction Time Attention Pattern Recognition, Automated Visual Perception Space Perception Humans Neural Networks, Computer Young Adult Pattern Recognition, Visual
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Comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts".

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2019
Data Mining Deep Learning Social Media Humans Natural Language Processing Neural Networks, Computer Drug-Related Side Effects and Adverse Reactions Pharmacovigilance Datasets as Topic
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Reply to comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts".

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2019
We appreciate the detailed review provided by Magge et al1 of our article, "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts." 2 In their letter, they present a subjectiv...
Pharmacovigilance Humans Neural Networks, Computer Deep Learning Social Media Drug-Related Side Effects and Adverse Reactions
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Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.

Abdominal radiology (New York) Jun 1, 2019
PURPOSE: Currently, all solid enhancing renal masses without microscopic fat are considered malignant until proven otherwise and there is substantial overlap in the imaging findings of benign and malignant renal masses, particularly between clear cel...
Iohexol Multidetector Computed Tomography Carcinoma, Renal Cell Adenoma, Oxyphilic Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged Deep Learning Contrast Media Algorithms Retrospective Studies Female Aged Humans Software
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Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models.

Journal of digital imaging Jun 1, 2019
Highly accurate detection of the intracranial hemorrhage without delay is a critical clinical issue for the diagnostic decision and treatment in an emergency room. In the context of a study on diagnostic accuracy, there is a tradeoff between sensitiv...
Deep Learning Radiographic Image Interpretation, Computer-Assisted Intracranial Hemorrhages Humans Neural Networks, Computer Tomography, X-Ray Computed Sensitivity and Specificity
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Deep transfer learning-based prostate cancer classification using 3 Tesla multi-parametric MRI.

Abdominal radiology (New York) Jun 1, 2019
PURPOSE: The purpose of the study was to propose a deep transfer learning (DTL)-based model to distinguish indolent from clinically significant prostate cancer (PCa) lesions and to compare the DTL-based model with a deep learning (DL) model without t...
Humans Middle Aged Deep Learning Magnetic Resonance Imaging Diagnosis, Differential Prostatic Neoplasms Biopsy Image Interpretation, Computer-Assisted Aged, 80 and over Adult Sensitivity and Specificity Male Software Retrospective Studies Aged
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Automatic Lumbar MRI Detection and Identification Based on Deep Learning.

Journal of digital imaging Jun 1, 2019
The aim of this research is to automatically detect lumbar vertebras in MRI images with bounding boxes and their classes, which can assist clinicians with diagnoses based on large amounts of MRI slices. Vertebras are highly semblable in appearance, l...
Lumbar Vertebrae Automation Spinal Diseases Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans
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Restoration of Full Data from Sparse Data in Low-Dose Chest Digital Tomosynthesis Using Deep Convolutional Neural Networks.

Journal of digital imaging Jun 1, 2019
Chest digital tomosynthesis (CDT) provides more limited image information required for diagnosis when compared to computed tomography. Moreover, the radiation dose received by patients is higher in CDT than in chest radiography. Thus, CDT has not bee...
Humans Radiation Dosage Radiography, Thoracic Monte Carlo Method Radiographic Image Enhancement Neural Networks, Computer Algorithms Deep Learning Imaging, Three-Dimensional
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Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in Intraductal Papillary Mucinous Neoplasms of the Pancreas.

Clinical and translational gastroenterology May 22, 2019
OBJECTIVES: Intraductal papillary mucinous neoplasms (IPMNs) are precursor lesions of pancreatic adenocarcinoma. Artificial intelligence (AI) is a mathematical concept whose implementation automates learning and recognizing data patterns. The aim of ...
Pancreatic Intraductal Neoplasms Aged Pancreas Aged, 80 and over Pancreatectomy Adult Preoperative Period Male Image Processing, Computer-Assisted Humans Pancreatic Neoplasms Retrospective Studies Middle Aged Carcinoma, Pancreatic Ductal Female Disease Progression Endosonography Deep Learning ROC Curve
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Transfer learning on T1-weighted images for brain age estimation.

Mathematical biosciences and engineering : MBE May 18, 2019
Due to both the hidden nature and the irreversibility of Alzheimers disease (AD), it has become the killer of the elderly and is thus the focus of much attention in the medical field. Radiologists compare the predicted brain age with the ground truth...
Aging Female Humans Middle Aged Aged Magnetic Resonance Imaging Databases, Factual Deep Learning Aged, 80 and over Alzheimer Disease Brain Male Image Interpretation, Computer-Assisted Neuroimaging
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