AIMC Topic: Deep Learning

Clear Filters Showing 1111 to 1120 of 26421 articles

Pyramid Network With Quality-Aware Contrastive Loss for Retinal Image Quality Assessment.

IEEE transactions on medical imaging Mar 17, 2025
Captured retinal images vary greatly in quality. Low-quality images increase the risk of misdiagnosis. This motivates to design effective retinal image quality assessment (RIQA) methods. Current deep learning-based methods usually classify the image ...
Algorithms Deep Learning Image Interpretation, Computer-Assisted Retina Humans Neural Networks, Computer
View on PubMed DOI

A Learnable Prior Improves Inverse Tumor Growth Modeling.

IEEE transactions on medical imaging Mar 17, 2025
Biophysical modeling, particularly involving partial differential equations (PDEs), offers significant potential for tailoring disease treatment protocols to individual patients. However, the inverse problem-solving aspect of these models presents a ...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Models, Biological Brain Neoplasms Deep Learning Algorithms Brain Humans
View on PubMed DOI

DPI-MoCo: Deep Prior Image Constrained Motion Compensation Reconstruction for 4D CBCT.

IEEE transactions on medical imaging Mar 17, 2025
4D cone-beam computed tomography (CBCT) plays a critical role in adaptive radiation therapy for lung cancer. However, extremely sparse sampling projection data will cause severe streak artifacts in 4D CBCT images. Existing deep learning (DL) methods ...
Cone-Beam Computed Tomography Image Processing, Computer-Assisted Lung Deep Learning Phantoms, Imaging Four-Dimensional Computed Tomography Lung Neoplasms Artifacts Humans Algorithms
View on PubMed DOI

FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-Supervised Medical Image Segmentation.

IEEE transactions on medical imaging Mar 17, 2025
Federated learning (FL) effectively mitigates the data silo challenge brought about by policies and privacy concerns, implicitly harnessing more data for deep model training. However, traditional centralized FL models grapple with diverse multi-cente...
Humans Image Processing, Computer-Assisted Supervised Machine Learning Algorithms Deep Learning
View on PubMed DOI

Classification of pulmonary diseases from chest radiographs using deep transfer learning.

PloS one Mar 17, 2025
Pulmonary diseases are the leading causes of disabilities and deaths worldwide. Early diagnosis of pulmonary diseases can reduce the fatality rate. Chest radiographs are commonly used to diagnose pulmonary diseases. In clinical practice, diagnosing p...
Sensitivity and Specificity Humans Lung Diseases Deep Learning Neural Networks, Computer Radiography, Thoracic
View on PubMed DOI

A malware classification method based on directed API call relationships.

PloS one Mar 17, 2025
In response to the growing complexity of network threats, researchers are increasingly turning to machine learning and deep learning techniques to develop advanced models for malware detection. Many existing methods that utilize Application Programmi...
Deep Learning Computer Security Neural Networks, Computer Software Humans Machine Learning Algorithms
View on PubMed DOI

Extraction of fetal heartbeat locations in abdominal phonocardiograms using deep attention transformer.

Computers in biology and medicine Mar 16, 2025
Assessing fetal health traditionally involves techniques like echocardiography, which require skilled professionals and specialized equipment, making them unsuitable for low-resource settings. An emerging alternative is Phonocardiography (PCG), which...
Phonocardiography Humans Heart Rate, Fetal Pregnancy Fetal Monitoring Deep Learning Signal Processing, Computer-Assisted Female
View on PubMed DOI

Fast and Accurate Prediction of Tautomer Ratios in Aqueous Solution via a Siamese Neural Network.

Journal of chemical theory and computation Mar 16, 2025
Tautomerization plays a critical role in chemical and biological processes, influencing molecular stability, reactivity, biological activity, and ADME-Tox properties. Many drug-like molecules exist in multiple tautomeric states in aqueous solution, c...
Solutions Neural Networks, Computer Water Thermodynamics Deep Learning Isomerism
View on PubMed DOI

A multimodal framework for assessing the link between pathomics, transcriptomics, and pancreatic cancer mutations.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 15, 2025
In Pancreatic Ductal Adenocarcinoma (PDAC), predicting genetic mutations directly from histopathological images using Deep Learning can provide valuable insights. The combination of several omics can provide further knowledge on mechanisms underlying...
Humans Transcriptome Deep Learning Pancreatic Neoplasms Mutation Carcinoma, Pancreatic Ductal Smad4 Protein
View on PubMed DOI

Light scattering imaging modal expansion cytometry for label-free single-cell analysis with deep learning.

Computer methods and programs in biomedicine Mar 15, 2025
BACKGROUND AND OBJECTIVE: Single-cell imaging plays a key role in various fields, including drug development, disease diagnosis, and personalized medicine. To obtain multi-modal information from a single-cell image, especially for label-free cells, t...
Scattering, Radiation Female Image Processing, Computer-Assisted Uterine Cervical Neoplasms Light Deep Learning Cell Line, Tumor Humans Single-Cell Analysis Algorithms
View on PubMed DOI
Popular Topics
Recent Journals