AIMC Topic:
Databases, Factual

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HyperFoods: Machine intelligent mapping of cancer-beating molecules in foods.

Scientific reports Jul 3, 2019
Recent data indicate that up-to 30-40% of cancers can be prevented by dietary and lifestyle measures alone. Herein, we introduce a unique network-based machine learning platform to identify putative food-based cancer-beating molecules. These have bee...
Food Food Analysis Drug Repositioning Metabolic Networks and Pathways Humans Artificial Intelligence Databases, Factual Diet Neoplasms Antineoplastic Agents
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Exploring the druggable space around the Fanconi anemia pathway using machine learning and mechanistic models.

BMC bioinformatics Jul 2, 2019
BACKGROUND: In spite of the abundance of genomic data, predictive models that describe phenotypes as a function of gene expression or mutations are difficult to obtain because they are affected by the curse of dimensionality, given the disbalance bet...
Humans Machine Learning Signal Transduction Phenotype Proteins Fanconi Anemia Databases, Factual Genomics
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Lung Cancer Detection using Probabilistic Neural Network with modified Crow-Search Algorithm.

Asian Pacific journal of cancer prevention : APJCP Jul 1, 2019
Objective: Lung cancer is a type of malignancy that occurs most commonly among men and the third most common type of malignancy among women. The timely recognition of lung cancer is necessary for decreasing the effect of death rate worldwide. Since t...
Algorithms Databases, Factual Prognosis Humans Neural Networks, Computer Tomography, X-Ray Computed Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted
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Automated diagnosis of ear disease using ensemble deep learning with a big otoendoscopy image database.

EBioMedicine Jul 1, 2019
BACKGROUND: Ear and mastoid disease can easily be treated by early detection and appropriate medical care. However, short of specialists and relatively low diagnostic accuracy calls for a new way of diagnostic strategy, in which deep learning may pla...
Humans Neural Networks, Computer Machine Learning Deep Learning Algorithms Tympanic Membrane Databases, Factual Ear Diseases Endoscopy
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C-HMOSHSSA: Gene selection for cancer classification using multi-objective meta-heuristic and machine learning methods.

Computer methods and programs in biomedicine Jun 29, 2019
BACKGROUND AND OBJECTIVE: Over the last two decades, DNA microarray technology has emerged as a powerful tool for early cancer detection and prevention. It helps to provide a detailed overview of disease complex microenvironment. Moreover, online ava...
Animals Male Neoplasms Computational Biology Support Vector Machine Early Detection of Cancer Sensitivity and Specificity Tumor Microenvironment Biomarkers, Tumor Computer Simulation Female Predatory Behavior Reproducibility of Results Gene Expression Software Social Behavior Heuristics Algorithms Oligonucleotide Array Sequence Analysis Humans Databases, Factual Machine Learning
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Towards Fine Whole-Slide Skeletal Muscle Image Segmentation through Deep Hierarchically Connected Networks.

Journal of healthcare engineering Jun 27, 2019
Automatic skeletal muscle image segmentation (MIS) is crucial in the diagnosis of muscle-related diseases. However, accurate methods often suffer from expensive computations, which are not scalable to large-scale, whole-slide muscle images. In this p...
Histocytochemistry Animals Neural Networks, Computer Image Processing, Computer-Assisted Databases, Factual Muscle, Skeletal
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Riemannian Curvature of Deep Neural Networks.

IEEE transactions on neural networks and learning systems Jun 26, 2019
We analyze deep neural networks using the theory of Riemannian geometry and curvature. The objective is to gain insight into how Riemannian geometry can characterize and predict the trained behavior of neural networks. We define a method for calculat...
Algorithms Databases, Factual Deep Learning Neural Networks, Computer
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Online Incremental Classification Resonance Network and Its Application to Human-Robot Interaction.

IEEE transactions on neural networks and learning systems Jun 24, 2019
In human-robot interaction (HRI), classification is one of the most important problems, and it is essential particularly when the robot recognizes the surroundings and chooses a reaction based on a certain situation. Each interaction is different sin...
Automated Facial Recognition Humans Neural Networks, Computer Artificial Intelligence Databases, Factual Robotics
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Object Detection During Newborn Resuscitation Activities.

IEEE journal of biomedical and health informatics Jun 24, 2019
OBJECTIVE: Birth asphyxia is a major newborn mortality problem in low-resource countries. International guideline provides treatment recommendations; however, the importance and effect of the different treatments are not fully explored. The available...
Asphyxia Neonatorum Monitoring, Physiologic Video Recording Resuscitation Infant, Newborn Image Processing, Computer-Assisted Humans Neural Networks, Computer Databases, Factual
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Enhanced classifier training to improve precision of a convolutional neural network to identify images of skin lesions.

PloS one Jun 24, 2019
BACKGROUND: In recent months, multiple publications have demonstrated the use of convolutional neural networks (CNN) to classify images of skin cancer as precisely as dermatologists. However, these CNNs failed to outperform the International Symposiu...
Deep Learning Skin Dermatologists Humans Skin Neoplasms Algorithms Dermoscopy Image Interpretation, Computer-Assisted Neural Networks, Computer Databases, Factual Reproducibility of Results Melanoma
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