AIMC Topic: Datasets as Topic

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Compressing deep graph convolution network with multi-staged knowledge distillation.

PloS one Aug 13, 2021
Given a trained deep graph convolution network (GCN), how can we effectively compress it into a compact network without significant loss of accuracy? Compressing a trained deep GCN into a compact GCN is of great importance for implementing the model ...
Humans Neural Networks, Computer Knowledge Bases Datasets as Topic Computer Graphics
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dSPIC: a deep SPECT image classification network for automated multi-disease, multi-lesion diagnosis.

BMC medical imaging Aug 11, 2021
BACKGROUND: Functional imaging especially the SPECT bone scintigraphy has been accepted as the effective clinical tool for diagnosis, treatment, evaluation, and prevention of various diseases including metastasis. However, SPECT imaging is brightly c...
Datasets as Topic Bone and Bones Tomography, Emission-Computed, Single-Photon Whole Body Imaging Neural Networks, Computer ROC Curve Image Interpretation, Computer-Assisted Humans
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Bidirectional deep neural networks to integrate RNA and DNA data for predicting outcome for patients with hepatocellular carcinoma.

Future oncology (London, England) Aug 10, 2021
Individualized patient profiling is instrumental for personalized management in hepatocellular carcinoma (HCC). This study built a model based on bidirectional deep neural networks (BiDNNs), an unsupervised machine-learning approach, to integrate mu...
Cohort Studies Liver Neoplasms Carcinoma, Hepatocellular RNA-Seq Middle Aged Risk Assessment Deep Learning Gene Expression Regulation, Neoplastic Models, Genetic DNA Methylation Liver Gene Regulatory Networks RNA, Messenger Epigenesis, Genetic Humans Prognosis Female Biomarkers, Tumor Male Aged Adult Neoplasm Recurrence, Local Disease-Free Survival Datasets as Topic
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Deep learning to design nuclear-targeting abiotic miniproteins.

Nature chemistry Aug 9, 2021
There are more amino acid permutations within a 40-residue sequence than atoms on Earth. This vast chemical search space hinders the use of human learning to design functional polymers. Here we show how machine learning enables the de novo design of ...
Datasets as Topic Cell Nucleus Protein Conformation Protein Transport Cytosol Deep Learning Models, Molecular Proteins Molecular Weight
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Computer-aided diagnosis with a convolutional neural network algorithm for automated detection of urinary tract stones on plain X-ray.

BMC urology Aug 5, 2021
BACKGROUND: Recent increased use of medical images induces further burden of their interpretation for physicians. A plain X-ray is a low-cost examination that has low-dose radiation exposure and high availability, although diagnosing urolithiasis usi...
Adult Sensitivity and Specificity Male Middle Aged Female Aged Aged, 80 and over Radiography Diagnosis, Computer-Assisted Humans Radiographic Image Interpretation, Computer-Assisted Deep Learning Neural Networks, Computer Datasets as Topic Adolescent Urinary Calculi
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Multi-EPL: Accurate multi-source domain adaptation.

PloS one Aug 5, 2021
Given multiple source datasets with labels, how can we train a target model with no labeled data? Multi-source domain adaptation (MSDA) aims to train a model using multiple source datasets different from a target dataset in the absence of target data...
Datasets as Topic Deep Learning Database Management Systems
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Machine learning based approach to exam cheating detection.

PloS one Aug 4, 2021
The COVID-19 pandemic has impelled the majority of schools and universities around the world to switch to remote teaching. One of the greatest challenges in online education is preserving the academic integrity of student assessments. The lack of dir...
Universities Lie Detection Deception Datasets as Topic SARS-CoV-2 Humans Education, Distance COVID-19 Machine Learning Fraud Educational Measurement Algorithms Pandemics Models, Theoretical
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A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images.

JAMA network open Aug 2, 2021
IMPORTANCE: Breast cancer screening is among the most common radiological tasks, with more than 39 million examinations performed each year. While it has been among the most studied medical imaging applications of artificial intelligence, the develop...
ROC Curve Early Detection of Cancer Mammography False Positive Reactions Breast Datasets as Topic Aged Breast Neoplasms Middle Aged Deep Learning Humans Female Reproducibility of Results
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MCN-CPI: Multiscale Convolutional Network for Compound-Protein Interaction Prediction.

Biomolecules Jul 29, 2021
In the process of drug discovery, identifying the interaction between the protein and the novel compound plays an important role. With the development of technology, deep learning methods have shown excellent performance in various situations. Howeve...
Protein Conformation, beta-Strand Drugs, Investigational Datasets as Topic Binding Sites Protein Interaction Domains and Motifs Protein Conformation, alpha-Helical Proteins Molecular Docking Simulation Kinetics Humans Drug Discovery High-Throughput Screening Assays Deep Learning Protein Binding
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Facing small and biased data dilemma in drug discovery with enhanced federated learning approaches.

Science China. Life sciences Jul 26, 2021
Artificial intelligence (AI) models usually require large amounts of high-quality training data, which is in striking contrast to the situation of small and biased data faced by current drug discovery pipelines. The concept of federated learning has ...
Artificial Intelligence Datasets as Topic ERG1 Potassium Channel Algorithms Drug Discovery
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