AIMC Topic: Machine Learning

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Fully Automated Spleen Localization And Segmentation Using Machine Learning And 3D Active Contours.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Automated segmentation of the spleen in CT volumes is difficult due to variations in size, shape, and position of the spleen within the abdominal cavity as well as similarity of intensity values among organs in the abdominal cavity. In this paper we ...
Abdomen Spleen Thorax Algorithms Tomography, X-Ray Computed Imaging, Three-Dimensional Humans Machine Learning
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Diagnosis of prostate cancer in a Chinese population by using machine learning methods.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
An early diagnosis of prostate cancer (PC) is key for the successful treatment. Although invasive prostate biopsies can provide a definitive diagnosis, the number of biopsies should be reduced to avoid side effects and risks especially for the men wi...
Support Vector Machine Least-Squares Analysis Prostatic Neoplasms Humans Aged Neural Networks, Computer Biopsy Male Machine Learning Middle Aged Asian People
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Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
In recent years machine learning methods for human activity recognition have been found very effective. These classify discriminative features generated from raw input sequences acquired from body-worn inertial sensors. However, it involves an explic...
Movement Neural Networks, Computer Human Activities Machine Learning Algorithms Humans
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Applying machine learning to the flagellar motor for biosensing.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Escherichia coli detects and follows chemical gradients in its environment in a process known as chemotaxis. The performance of chemotaxis approaches fundamental biosensor speed and sensitivity limits, but there have been relatively few attempts to i...
Chemotaxis Aspartic Acid Machine Learning Biosensing Techniques Escherichia coli
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Increasing the learning Capacity of BCI Systems via CNN-HMM models.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Despite all the work in the Brain Computer Interface (BCI) community, one of the main issues that prevents it from becoming pervasive is the limitation on the number of commands with a satisfactory accuracy of detection. In this paper, we propose a s...
Humans Neural Networks, Computer Machine Learning Brain-Computer Interfaces Imagery, Psychotherapy
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Classification of electroencephalogram signals using wavelet-CSP and projection extreme learning machine.

The Review of scientific instruments Jul 1, 2018
Brain-computer interface (BCI) systems establish a direct communication channel from the brain to an output device. As the basis of BCIs, recognizing motor imagery activities poses a considerable challenge to signal processing due to the complex and ...
Imagination Electroencephalography Pattern Recognition, Automated Calibration Brain-Computer Interfaces Brain Wavelet Analysis Humans Time Factors Motor Activity Machine Learning Principal Component Analysis
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Foreword: computational special focus issue.

Future medicinal chemistry Jul 1, 2018
Neoplasms Drug Discovery Obesity Molecular Targeted Therapy Quantitative Structure-Activity Relationship Artificial Intelligence Machine Learning Animals Humans
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Applications of Machine Learning Methods to Genomic Selection in Breeding Wheat for Rust Resistance.

The plant genome Jul 1, 2018
New methods and algorithms are being developed for predicting untested phenotypes in schemes commonly used in genomic selection (GS). The prediction of disease resistance in GS has its own peculiarities: a) there is consensus about the additive natur...
Support Vector Machine Triticum Plant Diseases Machine Learning Genomics Models, Genetic Genome, Plant Plant Breeding Linear Models Basidiomycota Disease Resistance Neural Networks, Computer
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AI can be sexist and racist - it's time to make it fair.

Nature Jul 1, 2018
Humans Natural Language Processing Sex Factors Datasets as Topic Racism Sexism Race Factors Female Male Social Justice Neural Networks, Computer Artificial Intelligence Machine Learning
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Applying Machine-Learning Techniques to Build Self-reported Depression Prediction Models.

Computers, informatics, nursing : CIN Jul 1, 2018
Aged Aged, 80 and over Male Humans Machine Learning Female Mass Screening Self Report Middle Aged Datasets as Topic Depression Logistic Models
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