AIMC Topic: Deep Learning

Clear Filters Showing 1871 to 1880 of 26518 articles

A deep ensemble learning framework for glioma segmentation and grading prediction.

Scientific reports Feb 6, 2025
The segmentation and risk grade prediction of gliomas based on preoperative multimodal magnetic resonance imaging (MRI) are crucial tasks in computer-aided diagnosis. Due to the significant heterogeneity between and within tumors, existing methods ma...
Neoplasm Grading Ensemble Learning Humans Glioma Magnetic Resonance Imaging Brain Neoplasms Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Deep Multiview Module Adaption Transfer Network for Subject-Specific EEG Recognition.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Transfer learning is one of the popular methods to solve the problem of insufficient data in subject-specific electroencephalogram (EEG) recognition tasks. However, most existing approaches ignore the difference between subjects and transfer the same...
Neural Networks, Computer Algorithms Humans Imagination Electroencephalography Databases, Factual Deep Learning Seizures Pattern Recognition, Automated
View on PubMed DOI

An Information Fusion System-Driven Deep Neural Networks With Application to Cancer Mortality Risk Estimate.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Next-generation sequencing (NGS) genomic data offer valuable high-throughput genomic information for computational applications in medicine. Using genomic data to identify disease-associated genes to estimate cancer mortality risk remains challenging...
Fuzzy Logic High-Throughput Nucleotide Sequencing Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Deep Learning Genomics Humans Risk Assessment Neural Networks, Computer Neoplasms
View on PubMed DOI

Hypernetwork-Based Physics-Driven Personalized Federated Learning for CT Imaging.

IEEE transactions on neural networks and learning systems Feb 6, 2025
In clinical practice, computed tomography (CT) is an important noninvasive inspection technology to provide patients' anatomical information. However, its potential radiation risk is an unavoidable problem that raises people's concerns. Recently, dee...
Image Processing, Computer-Assisted Physics Federated Learning Tomography, X-Ray Computed Deep Learning Neural Networks, Computer Algorithms Humans
View on PubMed DOI

Community Graph Convolution Neural Network for Alzheimer's Disease Classification and Pathogenetic Factors Identification.

IEEE transactions on neural networks and learning systems Feb 6, 2025
As a complex neural network system, the brain regions and genes collaborate to effectively store and transmit information. We abstract the collaboration correlations as the brain region gene community network (BG-CN) and present a new deep learning a...
Algorithms Brain Deep Learning Humans Neural Networks, Computer Alzheimer Disease Neuroimaging
View on PubMed DOI

Deep learning: A game changer in drug design and development.

Advances in pharmacology (San Diego, Calif.) Feb 6, 2025
The lengthy and costly drug discovery process is transformed by deep learning, a subfield of artificial intelligence. Deep learning technologies expedite the procedure, increasing treatment success rates and speeding life-saving procedures. Deep lear...
Deep Learning Drug Design Drug Development Drug Discovery Humans Animals
View on PubMed DOI

A hybrid approach for intrusion detection in vehicular networks using feature selection and dimensionality reduction with optimized deep learning.

PloS one Feb 6, 2025
Autonomous transportation systems have the potential to greatly impact the way we travel. A vital aspect of these systems is their connectivity, facilitated by intelligent transport applications. However, the safety ensured by the vehicular network c...
Principal Component Analysis Algorithms Humans Dimensionality Reduction Deep Learning
View on PubMed DOI

LazyAct: Lazy actor with dynamic state skip based on constrained MDP.

PloS one Feb 6, 2025
Deep reinforcement learning has achieved significant success in complex decision-making tasks. However, the high computational cost of policies based on deep neural networks restricts their practical application. Specifically, each decision made by a...
Humans Neural Networks, Computer Algorithms Deep Learning Decision Making
View on PubMed DOI

Class-aware multi-level attention learning for semi-supervised breast cancer diagnosis under imbalanced label distribution.

Medical & biological engineering & computing Feb 5, 2025
Breast cancer affects a significant number of patients worldwide, and early diagnosis is critical for improving cure rates and prognosis. Deep learning-based breast cancer classification algorithms have substantially alleviated the burden on medical ...
Humans Breast Neoplasms Deep Learning Supervised Machine Learning Algorithms Female
View on PubMed DOI

Artificial intelligence-based cardiac transthyretin amyloidosis detection and scoring in scintigraphy imaging: multi-tracer, multi-scanner, and multi-center development and evaluation study.

European journal of nuclear medicine and molecular imaging Feb 5, 2025
INTRODUCTION: Providing tools for comprehensively evaluating scintigraphy images could enhance transthyretin amyloid cardiomyopathy (ATTR-CM) diagnosis. This study aims to automatically detect and score ATTR-CM in total body scintigraphy images using...
Cardiomyopathies Amyloid Neuropathies, Familial Image Processing, Computer-Assisted Female Radionuclide Imaging Aged Middle Aged Deep Learning Humans Male Artificial Intelligence
View on PubMed DOI
Popular Topics
Recent Journals