AIMC Topic:
Software
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Automated rotator cuff tear classification using 3D convolutional neural network.
Scientific reports
Sep 24, 2020
Rotator cuff tear (RCT) is one of the most common shoulder injuries. When diagnosing RCT, skilled orthopedists visually interpret magnetic resonance imaging (MRI) scan data. For automated and accurate diagnosis of RCT, we propose a full 3D convolutio...
REDBot: Natural language process methods for clinical copy number variation reporting in prenatal and products of conception diagnosis.
Molecular genetics & genomic medicine
Sep 22, 2020
BACKGROUND: Current copy number variation (CNV) identification methods have rapidly become mature. However, the postdetection processes such as variant interpretation or reporting are inefficient. To overcome this situation, we developed REDBot as an...
SAPPHIRE: a neural network based classifier for σ70 promoter prediction in Pseudomonas.
BMC bioinformatics
Sep 22, 2020
BACKGROUND: In silico promoter prediction represents an important challenge in bioinformatics as it provides a first-line approach to identifying regulatory elements to support wet-lab experiments. Historically, available promoter prediction software...
Multi-scale supervised clustering-based feature selection for tumor classification and identification of biomarkers and targets on genomic data.
BMC genomics
Sep 22, 2020
BACKGROUND: The small number of samples and the curse of dimensionality hamper the better application of deep learning techniques for disease classification. Additionally, the performance of clustering-based feature selection algorithms is still far ...
A fuzzy TOPSIS based analysis toward selection of effective security requirements engineering approach for trustworthy healthcare software development.
BMC medical informatics and decision making
Sep 18, 2020
BACKGROUND: Today's healthcare organizations want to implement secure and quality healthcare software as cyber-security is a significant risk factor for healthcare data. Considering security requirements during trustworthy healthcare software develop...
PeptiDesCalculator: Software for computation of peptide descriptors. Definition, implementation and case studies for 9 bioactivity endpoints.
Proteins
Sep 17, 2020
We present a novel Java-based program denominated PeptiDesCalculator for computing peptide descriptors. These descriptors include: redefinitions of known protein parameters to suite the peptide domain, generalization schemes for the global descriptio...
Self-grouping convolutional neural networks.
Neural networks : the official journal of the International Neural Network Society
Sep 17, 2020
Although group convolution operators are increasingly used in deep convolutional neural networks to improve the computational efficiency and to reduce the number of parameters, most existing methods construct their group convolution architectures by ...
DNSS2: Improved ab initio protein secondary structure prediction using advanced deep learning architectures.
Proteins
Sep 16, 2020
Accurate prediction of protein secondary structure (alpha-helix, beta-strand and coil) is a crucial step for protein inter-residue contact prediction and ab initio tertiary structure prediction. In a previous study, we developed a deep belief network...
Emulating Docking Results Using a Deep Neural Network: A New Perspective for Virtual Screening.
Journal of chemical information and modeling
Sep 16, 2020
Docking is one of the most important steps in virtual screening pipelines, and it is an established method for examining potential interactions between ligands and receptors. However, this method is computationally expensive, and it is often among th...
A Web Application for Adrenal Incidentaloma Identification, Tracking, and Management Using Machine Learning.
Applied clinical informatics
Sep 16, 2020
BACKGROUND: Incidental radiographic findings, such as adrenal nodules, are commonly identified in imaging studies and documented in radiology reports. However, patients with such findings frequently do not receive appropriate follow-up, partially due...
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