AIMC Topic: Neural Networks, Computer

Clear Filters Showing 8741 to 8750 of 31376 articles

DeepTPpred: A Deep Learning Approach With Matrix Factorization for Predicting Therapeutic Peptides by Integrating Length Information.

IEEE journal of biomedical and health informatics Sep 6, 2023
The abuse of traditional antibiotics has led to increased resistance of bacteria and viruses. Efficient therapeutic peptide prediction is critical for peptide drug discovery. However, most of the existing methods only make effective predictions for o...
Drug Discovery Deep Learning Neural Networks, Computer Peptides Humans
View on PubMed DOI

Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation.

IEEE journal of biomedical and health informatics Sep 6, 2023
Medical image segmentation, or computing voxel-wise semantic masks, is a fundamental yet challenging task in medical imaging domain. To increase the ability of encoder-decoder neural networks to perform this task across large clinical cohorts, contra...
Humans Neural Networks, Computer Machine Learning Semantics Image Processing, Computer-Assisted Diagnostic Imaging Datasets as Topic
View on PubMed DOI

Graph Neural Networks With Multiple Prior Knowledge for Multi-Omics Data Analysis.

IEEE journal of biomedical and health informatics Sep 6, 2023
With the development of biotechnology, a large amount of multi-omics data have been collected for precision medicine. There exists multiple graph-based prior biological knowledge about omics data, such as gene-gene interaction networks. Recently, the...
Multiomics Biotechnology Data Analysis Algorithms Humans Neural Networks, Computer
View on PubMed DOI

An Efficient and Private ECG Classification System Using Split and Semi-Supervised Learning.

IEEE journal of biomedical and health informatics Sep 6, 2023
Electrocardiography (ECG) is a standard diagnostic tool for evaluating the overall heart's electrical activity and is vital for detecting many cardiovascular diseases. Classifying ECG recordings using deep neural networks has been investigated in lit...
Cardiovascular Diseases Electrocardiography Humans Neural Networks, Computer Supervised Machine Learning Privacy
View on PubMed DOI

Multi-Label Local to Global Learning: A Novel Learning Paradigm for Chest X-Ray Abnormality Classification.

IEEE journal of biomedical and health informatics Sep 6, 2023
Deep neural network (DNN) approaches have shown remarkable progress in automatic Chest X-rays classification. However, existing methods use a training scheme that simultaneously trains all abnormalities without considering their learning priority. In...
X-Rays Machine Learning Models, Biological Datasets as Topic Radiography, Thoracic Humans Neural Networks, Computer
View on PubMed DOI

Uncertainty-Aware Multi-Dimensional Mutual Learning for Brain and Brain Tumor Segmentation.

IEEE journal of biomedical and health informatics Sep 6, 2023
Existing segmentation methods for brain MRI data usually leverage 3D CNNs on 3D volumes or employ 2D CNNs on 2D image slices. We discovered that while volume-based approaches well respect spatial relationships across slices, slice-based methods typic...
Neural Networks, Computer Brain Humans Image Processing, Computer-Assisted Uncertainty Reproducibility of Results Brain Neoplasms
View on PubMed DOI

Soft computing applications in the field of human factors and ergonomics: A review of the past decade of research.

Applied ergonomics Sep 5, 2023
The main objectives of this study were to 1) review the literature on the applications of soft computing concepts to the field of human factors and ergonomics (HFE) between 2013 and 2022 and 2) highlight future developments and trends. Multiple soft ...
Fuzzy Logic Humans Ergonomics Neural Networks, Computer Algorithms
View on PubMed DOI

Deep learning for the early identification of periodontitis: a retrospective, multicentre study.

Clinical radiology Sep 5, 2023
AIM: To develop a deep-learning model to help general dental practitioners diagnose periodontitis accurately and at an early stage.
Deep Learning Dentists Neural Networks, Computer Humans Retrospective Studies Professional Role
View on PubMed DOI

Identifying the optimal deep learning architecture and parameters for automatic beam aperture definition in 3D radiotherapy.

Journal of applied clinical medical physics Sep 5, 2023
PURPOSE: Two-dimensional radiotherapy is often used to treat cervical cancer in low- and middle-income countries, but treatment planning can be challenging and time-consuming. Neural networks offer the potential to greatly decrease planning time thro...
Algorithms Humans Tomography, X-Ray Computed Neural Networks, Computer Deep Learning Female Image Processing, Computer-Assisted Uterine Cervical Neoplasms
View on PubMed DOI

Deep Transfer Learning-Based Approach for Glucose Transporter-1 (GLUT1) Expression Assessment.

Journal of digital imaging Sep 5, 2023
Glucose transporter-1 (GLUT-1) expression level is a biomarker of tumour hypoxia condition in immunohistochemistry (IHC)-stained images. Thus, the GLUT-1 scoring is a routine procedure currently employed for predicting tumour hypoxia markers in clini...
Glucose Transporter Type 1 Neural Networks, Computer Humans Deep Learning Support Vector Machine Tumor Hypoxia
View on PubMed DOI
Popular Topics
Recent Journals