AIMC Topic: Humans
Showing 64981 to 64990 of 95995 articles
Photomontage detection using steganography technique based on a neural network.
Neural networks : the official journal of the International Neural Network Society
Apr 17, 2019
This article presents a steganographic method StegoNN based on neural networks. The method is able to identify a photomontage from presented signed images. Unlike other academic approaches using neural networks primarily as classifiers, the StegoNN m...
A novel ECG signal compression method using spindle convolutional auto-encoder.
Computer methods and programs in biomedicine
Apr 17, 2019
BACKGROUND AND OBJECTIVES: With rapid development of telehealth system and cloud platform, traditional 12-ECG signals with high resolution generate heavy burdens in data storage and transmission. This problem is increasingly addressed with various EC...
Systems Pharmacological Approach to Investigate the Mechanism of for Application to Alzheimer's Disease.
Molecules (Basel, Switzerland)
Apr 17, 2019
(OC)-a traditional Chinese medicine (TCM)-has been reported to have large numbers of flavonoids, alkaloids, and triterpenoids. The previous studies on OC for treating Alzheimer's disease (AD) only focused on single targets and its mechanisms, while ...
Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study.
Journal of medical Internet research
Apr 17, 2019
BACKGROUND: Virtually, all organisms on Earth have their own circadian rhythm, and humans are no exception. Circadian rhythms are associated with various human states, especially mood disorders, and disturbance of the circadian rhythm is known to be ...
Application of artificial intelligence in pediatrics: past, present and future.
World journal of pediatrics : WJP
Apr 17, 2019
How to Check the Reliability of Artificial Intelligence Solutions-Ensuring Client Expectations are Met.
Applied clinical informatics
Apr 17, 2019
Interactive biomedical ontology matching.
PloS one
Apr 17, 2019
Due to continuous evolution of biomedical data, biomedical ontologies are becoming larger and more complex, which leads to the existence of many overlapping information. To support semantic inter-operability between ontology-based biomedical systems,...
Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models.
PloS one
Apr 17, 2019
Pathological estimation of tumor necrosis after chemotherapy is essential for patients with osteosarcoma. This study reports the first fully automated tool to assess viable and necrotic tumor in osteosarcoma, employing advances in histopathology digi...
Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study.
European radiology
Apr 16, 2019
PURPOSE: To study the feasibility of automatically identifying normal digital mammography (DM) exams with artificial intelligence (AI) to reduce the breast cancer screening reading workload.
Deep Q Learning Driven CT Pancreas Segmentation With Geometry-Aware U-Net.
IEEE transactions on medical imaging
Apr 16, 2019
The segmentation of pancreas is important for medical image analysis, yet it faces great challenges of class imbalance, background distractions, and non-rigid geometrical features. To address these difficulties, we introduce a deep Q network (DQN) dr...
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