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Machine Learning - AI Medical Compendium

AIMC Topic: Machine Learning

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Deep Learning for Plant Identification in Natural Environment.

Computational intelligence and neuroscience May 22, 2017
Plant image identification has become an interdisciplinary focus in both botanical taxonomy and computer vision. The first plant image dataset collected by mobile phone in natural scene is presented, which contains 10,000 images of 100 ornamental pla...
Classification Universities Photography Plants Machine Learning Datasets as Topic China Environment Forestry Cell Phone
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An automated ranking platform for machine learning regression models for meat spoilage prediction using multi-spectral imaging and metabolic profiling.

Food research international (Ottawa, Ont.) May 20, 2017
Over the past decade, analytical approaches based on vibrational spectroscopy, hyperspectral/multispectral imagining and biomimetic sensors started gaining popularity as rapid and efficient methods for assessing food quality, safety and authenticatio...
Optical Imaging Electronic Nose Pattern Recognition, Automated Bacteria Food Preservation Spectroscopy, Fourier Transform Infrared Red Meat Metabolomics Least-Squares Analysis Gas Chromatography-Mass Spectrometry Chromatography, High Pressure Liquid Machine Learning Automation Data Mining Models, Statistical Reproducibility of Results Food Microbiology Principal Component Analysis
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DeepPap: Deep Convolutional Networks for Cervical Cell Classification.

IEEE journal of biomedical and health informatics May 19, 2017
Automation-assisted cervical screening via Pap smear or liquid-based cytology (LBC) is a highly effective cell imaging based cancer detection tool, where cells are partitioned into "abnormal" and "normal" categories. However, the success of most trad...
Female Papanicolaou Test Vaginal Smears Cervix Uteri Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Machine Learning
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Spotting L3 slice in CT scans using deep convolutional network and transfer learning.

Computers in biology and medicine May 19, 2017
In this article, we present a complete automated system for spotting a particular slice in a complete 3D Computed Tomography exam (CT scan). Our approach does not require any assumptions on which part of the patient's body is covered by the scan. It ...
Humans Neural Networks, Computer Machine Learning Tomography, X-Ray Computed Lumbar Vertebrae Radiology Information Systems
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Machine learning for epigenetics and future medical applications.

Epigenetics May 19, 2017
Understanding epigenetic processes holds immense promise for medical applications. Advances in Machine Learning (ML) are critical to realize this promise. Previous studies used epigenetic data sets associated with the germline transmission of epigene...
Epigenesis, Genetic Epigenomics Humans Genetics, Medical Machine Learning Animals
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Drug Target Prediction by Multi-View Low Rank Embedding.

IEEE/ACM transactions on computational biology and bioinformatics May 18, 2017
Drug repositioning has been a key problem in drug development, and heterogeneous data sources are used to predict drug-target interactions by different approaches. However, most of studies focus on a single representation of drugs or proteins. It has...
Drug Development Models, Statistical Drug Repositioning Antineoplastic Agents Transcriptome Cell Line, Tumor Machine Learning Algorithms Humans
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Network mirroring for drug repositioning.

BMC medical informatics and decision making May 18, 2017
BACKGROUND: Although drug discoveries can provide meaningful insights and significant enhancements in pharmaceutical field, the longevity and cost that it takes can be extensive where the success rate is low. In order to circumvent the problem, there...
Data Mining Disease Drug Therapy Proteins Drug Repositioning Knowledge Discovery Humans Machine Learning Computational Biology
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Cascade recurring deep networks for audible range prediction.

BMC medical informatics and decision making May 18, 2017
BACKGROUND: Hearing Aids amplify sounds at certain frequencies to help patients, who have hearing loss, to improve the quality of life. Variables affecting hearing improvement include the characteristics of the patients' hearing loss, the characteris...
Machine Learning Algorithms Retrospective Studies Humans Neural Networks, Computer Hearing Aids Hearing Loss
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CarcinoPred-EL: Novel models for predicting the carcinogenicity of chemicals using molecular fingerprints and ensemble learning methods.

Scientific reports May 18, 2017
Carcinogenicity refers to a highly toxic end point of certain chemicals, and has become an important issue in the drug development process. In this study, three novel ensemble classification models, namely Ensemble SVM, Ensemble RF, and Ensemble XGBo...
Rats Quantitative Structure-Activity Relationship Carcinogens Machine Learning Software Animals
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Organ Location Determination and Contour Sparse Representation for Multiorgan Segmentation.

IEEE journal of biomedical and health informatics May 17, 2017
Organ segmentation on computed tomography (CT) images is of great importance in medical diagnoses and treatment. This paper proposes organ location determination and contour sparse representation methods (OLD-CSR) for multiorgan segmentation (liver, ...
Image Processing, Computer-Assisted Kidney Liver Humans Spleen Machine Learning Radiography, Abdominal Tomography, X-Ray Computed
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