AIMC Topic: Deep Learning
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Validation of patient-specific deep learning markerless lung tumor tracking aided by 4DCBCT.
Physics in medicine and biology
Mar 10, 2025
. Tracking tumors with multi-leaf collimators and x-ray imaging can be a cost-effective motion management method to reduce internal target volume margins for lung cancer patients, sparing normal tissues while ensuring target coverage. To realize that...
Deep learning-based prediction of atrial fibrillation from polar transformed time-frequency electrocardiogram.
PloS one
Mar 10, 2025
Portable and wearable electrocardiogram (ECG) devices are increasingly utilized in healthcare for monitoring heart rhythms and detecting cardiac arrhythmias or other heart conditions. The integration of ECG signal visualization with AI-based abnormal...
Addressing underestimation and explanation of retinal fundus photo-based cardiovascular disease risk score: Algorithm development and validation.
Computers in biology and medicine
Mar 9, 2025
OBJECTIVE: To resolve the underestimation problem and investigate the mechanism of the AI model which employed to predict cardiovascular disease (CVD) risk scores from retinal fundus photos.
Deep Radon Prior: A fully unsupervised framework for sparse-view CT reconstruction.
Computers in biology and medicine
Mar 9, 2025
BACKGROUND: Sparse-view computed tomography (CT) substantially reduces radiation exposure but often introduces severe artifacts that compromise image fidelity. Recent advances in deep learning for solving inverse problems have shown considerable prom...
Development and validation of radiomics and deep transfer learning models to assess cognitive impairment in patients with cerebral small vessel disease.
Neuroscience
Mar 9, 2025
Cognitive impairment in cerebral small vessel disease (CSVD) progresses subtly but carries significant clinical consequences, necessitating effective diagnostic tools. This study developed and validated predictive models for CSVD-related cognitive im...
On construction of data preprocessing for real-life SoyLeaf dataset & disease identification using Deep Learning Models.
Computational biology and chemistry
Mar 8, 2025
The vast volumes of data are needed to train Deep Learning Models from scratch to identify illnesses in soybean leaves. However, there is still a lack of sufficient high-quality samples. To overcome this problem, we have developed the real-life SoyLe...
Nondestructive detection of cadmium content in oilseed rape leaves under different silicon environments using deep transfer learning and Vis-NIR hyperspectral imaging.
Food chemistry
Mar 8, 2025
In this paper, a transfer stack denoising autoencoder (T-SDAE) algorithm is proposed to implement the migration of cadmium (Cd) prediction depth characteristic model of oilseed rape leaves in different silicon environments. Stacked denoising autoenco...
Diagnostic value of deep learning of multimodal imaging of thyroid for TI-RADS category 3-5 classification.
Endocrine
Mar 8, 2025
BACKGROUND: Thyroid nodules classified within the Thyroid Imaging Reporting and Data Systems (TI-RADS) category 3-5 are typically regarded as having varying degrees of malignancy risk, with the risk increasing from TI-RADS 3 to TI-RADS 5. While some ...
Assessment of CNNs, transformers, and hybrid architectures in dental image segmentation.
Journal of dentistry
Mar 8, 2025
OBJECTIVES: Convolutional Neural Networks (CNNs) have long dominated image analysis in dentistry, reaching remarkable results in a range of different tasks. However, Transformer-based architectures, originally proposed for Natural Language Processing...
Fine-Tuned Deep Transfer Learning Models for Large Screenings of Safer Drugs Targeting Class A GPCRs.
Biochemistry
Mar 8, 2025
G protein-coupled receptors (GPCRs) remain a focal point of research due to their critical roles in cell signaling and their prominence as drug targets. However, directly linking drug efficacy to the receptor-mediated activation of specific intracell...
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