AIMC Topic: Deep Learning

Clear Filters Showing 2911 to 2920 of 28423 articles

Syn-Net: A Synchronous Frequency-Perception Fusion Network for Breast Tumor Segmentation in Ultrasound Images.

IEEE journal of biomedical and health informatics Mar 6, 2025
Accurate breast tumor segmentation in ultrasound images is a crucial step in medical diagnosis and locating the tumor region. However, segmentation faces numerous challenges due to the complexity of ultrasound images, similar intensity distributions,...
Breast Neoplasms Algorithms Breast Humans Female Image Interpretation, Computer-Assisted Deep Learning Neural Networks, Computer Ultrasonography, Mammary
View on PubMed DOI

AdaptEEG: A Deep Subdomain Adaptation Network With Class Confusion Loss for Cross-Subject Mental Workload Classification.

IEEE journal of biomedical and health informatics Mar 6, 2025
EEG signals exhibit non-stationary characteristics, particularly across different subjects, which presents significant challenges in the precise classification of mental workload levels when applying a trained model to new subjects. Domain adaptation...
Female Adult Humans Algorithms Electroencephalography Signal Processing, Computer-Assisted Workload Male Deep Learning
View on PubMed DOI

Automatic Segmentation of Bone Graft in Maxillary Sinus via Distance Constrained Network Guided by Prior Anatomical Knowledge.

IEEE journal of biomedical and health informatics Mar 6, 2025
Maxillary Sinus Lifting is a crucial surgical procedure for addressing insufficient alveolar bone mass andsevere resorption in dental implant therapy. To accurately analyze the geometry changesof the bone graft (BG) in the maxillary sinus (MS), it is...
Datasets as Topic Postoperative Period Maxillary Sinus Maxilla Preoperative Period Image Processing, Computer-Assisted Humans Artifacts Deep Learning Alveolar Ridge Augmentation
View on PubMed DOI

Deep Augmented Metric Learning Network for Prostate Cancer Classification in Ultrasound Images.

IEEE journal of biomedical and health informatics Mar 6, 2025
Prostate cancer screening often relies on cost-intensive MRIs and invasive needle biopsies. Transrectal ultrasound imaging, as a more affordable and non-invasive alternative, faces the challenge of high inter-class similarity and intra-class variabil...
Ultrasonography Image Interpretation, Computer-Assisted Male Prostatic Neoplasms Humans Deep Learning Prostate
View on PubMed DOI

Multimodal Drug Target Binding Affinity Prediction Using Graph Local Substructure.

IEEE journal of biomedical and health informatics Mar 6, 2025
Predicting the binding affinity of drug target is essential to reduce drug development costs and cycles. Recently, several deep learning-based methods have been proposed to utilize the structural or sequential information of drugs and targets to pred...
Computational Biology Proteins Pharmaceutical Preparations Deep Learning Protein Binding Algorithms Drug Discovery Humans
View on PubMed DOI

Property-Guided Few-Shot Learning for Molecular Property Prediction With Dual-View Encoder and Relation Graph Learning Network.

IEEE journal of biomedical and health informatics Mar 6, 2025
Molecular property prediction is an important task in drug discovery. However, experimental data for many drug molecules are limited, especially for novel molecular structures or rare diseases which affect the accuracy of many deep learning methods t...
Deep Learning Algorithms Drug Discovery Humans Machine Learning
View on PubMed DOI

BINDTI: A Bi-Directional Intention Network for Drug-Target Interaction Identification Based on Attention Mechanisms.

IEEE journal of biomedical and health informatics Mar 6, 2025
The identification of drug-target interactions (DTIs) is an essential step in drug discovery. In vitro experimental methods are expensive, laborious, and time-consuming. Deep learning has witnessed promising progress in DTI prediction. However, how t...
Humans Deep Learning Computational Biology Proteins Neural Networks, Computer Drug Discovery
View on PubMed DOI

AEGNN-M:A 3D Graph-Spatial Co-Representation Model for Molecular Property Prediction.

IEEE journal of biomedical and health informatics Mar 6, 2025
Improving the drug development process can expedite the introduction of more novel drugs that cater to the demands of precision medicine. Accurately predicting molecular properties remains a fundamental challenge in drug discovery and development. Cu...
Cell Line, Tumor Drug Discovery Humans Deep Learning Neural Networks, Computer
View on PubMed DOI

Dual Representation Learning for Predicting Drug-Side Effect Frequency Using Protein Target Information.

IEEE journal of biomedical and health informatics Mar 6, 2025
Knowledge of unintended effects of drugs is critical in assessing the risk of treatment and in drug repurposing. Although numerous existing studies predict drug-side effect presence, only four of them predict the frequency of the side effects. Unfort...
Drug-Related Side Effects and Adverse Reactions Humans Computational Biology Proteins Deep Learning
View on PubMed DOI

Prediction of Drug-Target Interactions With High- Quality Negative Samples and a Network-Based Deep Learning Framework.

IEEE journal of biomedical and health informatics Mar 6, 2025
Identification of drug-target interactions (DTIs) plays a crucial role in drug discovery. Compared to traditional experimental methods, computer-based methods for predicting DTIs can significantly reduce the time and financial burdens of drug develop...
Neural Networks, Computer Drug Discovery Humans Proteins Pharmaceutical Preparations Gene Ontology Deep Learning Computational Biology
View on PubMed DOI
Popular Topics
Recent Journals