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Use of Artificial Intelligence-Based Analytics From Live Colonoscopies to Optimize the Quality of the Colonoscopy Examination in Real Time: Proof of Concept.

Gastroenterology Jan 13, 2020
Proof of Concept Study Image Interpretation, Computer-Assisted Datasets as Topic Humans Prospective Studies Colorectal Neoplasms Deep Learning Colon Mass Screening Colonoscopy Rectum
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Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach.

Medical image analysis Jan 11, 2020
Cardiac magnetic resonance imaging (MRI) provides a wealth of imaging biomarkers for cardiovascular disease care and segmentation of cardiac structures is required as a first step in enumerating these biomarkers. Deep convolutional neural networks (C...
Humans Neural Networks, Computer Reproducibility of Results Datasets as Topic Cardiovascular Diseases Magnetic Resonance Imaging Image Interpretation, Computer-Assisted
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Prediction of Protein-Protein Interaction Sites Using Convolutional Neural Network and Improved Data Sets.

International journal of molecular sciences Jan 11, 2020
Protein-protein interaction (PPI) sites play a key role in the formation of protein complexes, which is the basis of a variety of biological processes. Experimental methods to solve PPI sites are expensive and time-consuming, which has led to the dev...
Reproducibility of Results Animals Protein Binding Datasets as Topic Binding Sites Protein Interaction Mapping Humans Neural Networks, Computer
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Cloud-computing and machine learning in support of country-level land cover and ecosystem extent mapping in Liberia and Gabon.

PloS one Jan 10, 2020
Liberia and Gabon joined the Gaborone Declaration for Sustainability in Africa (GDSA), established in 2012, with the goal of incorporating the value of nature into national decision making by estimating the multiple services obtained from ecosystems ...
Datasets as Topic Cloud Computing Maps as Topic Machine Learning Ecosystem Gabon Liberia
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Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis.

Medical image analysis Jan 8, 2020
Neurodegenerative diseases are excessively affecting millions of patients, especially elderly people. Early detection and management of these diseases are crucial as the clinical symptoms take years to appear after the onset of neuro-degeneration. Th...
Humans Neurodegenerative Diseases Alzheimer Disease Image Interpretation, Computer-Assisted Machine Learning Parkinson Disease Datasets as Topic Early Diagnosis Neuroimaging
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ProDCoNN: Protein design using a convolutional neural network.

Proteins Jan 6, 2020
Designing protein sequences that fold to a given three-dimensional (3D) structure has long been a challenging problem in computational structural biology with significant theoretical and practical implications. In this study, we first formulated this...
Neural Networks, Computer Software Proteins Protein Engineering Protein Structure, Secondary Sequence Alignment Databases, Protein Amino Acid Sequence Datasets as Topic
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FOLFOX treatment response prediction in metastatic or recurrent colorectal cancer patients via machine learning algorithms.

Cancer medicine Jan 1, 2020
Early identification of metastatic or recurrent colorectal cancer (CRC) patients who will be sensitive to FOLFOX (5-FU, leucovorin and oxaliplatin) therapy is very important. We performed microarray meta-analysis to identify differentially expressed ...
Intracellular Signaling Peptides and Proteins Response Evaluation Criteria in Solid Tumors Leucovorin Fluorouracil Protein Kinases Datasets as Topic Organoplatinum Compounds Cell Cycle Proteins Oligonucleotide Array Sequence Analysis Gene Expression Regulation, Neoplastic Antineoplastic Combined Chemotherapy Protocols Neoplasm Recurrence, Local Biomarkers, Tumor Gene Expression Profiling Machine Learning Prognosis Colorectal Neoplasms Humans
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Global collaboration through local interaction in competitive learning.

Neural networks : the official journal of the International Neural Network Society Dec 30, 2019
Feature maps, that preserve the global topology of arbitrary datasets, can be formed by self-organizing competing agents. So far, it has been presumed that global interaction of agents is necessary for this process. We establish that this is not the ...
Big Data Datasets as Topic Cloud Computing Neural Networks, Computer Machine Learning
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Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural Networks.

Journal of chemical information and modeling Dec 24, 2019
Synthesis planning is the process of recursively decomposing target molecules into available precursors. Computer-aided retrosynthesis can potentially assist chemists in designing synthetic routes; however, at present, it is cumbersome and cannot pro...
Datasets as Topic Chemistry Techniques, Synthetic Neural Networks, Computer
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Bone age determination using only the index finger: a novel approach using a convolutional neural network compared with human radiologists.

Pediatric radiology Dec 20, 2019
BACKGROUND: Recently developed convolutional neural network (CNN) models determine bone age more accurately than radiologists.
Child Image Processing, Computer-Assisted Datasets as Topic Adolescent Humans Age Determination by Skeleton Child, Preschool Neural Networks, Computer Finger Phalanges Retrospective Studies Female Male Infant
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