AIMC Topic: Models, Statistical

Clear Filters Showing 51 to 60 of 1301 articles

Effective Semi-Supervised Medical Image Segmentation With Probabilistic Representations and Prototype Learning.

IEEE transactions on medical imaging Mar 17, 2025
Label scarcity, class imbalance and data uncertainty are three primary challenges that are commonly encountered in the semi-supervised medical image segmentation. In this work, we focus on the data uncertainty issue that is overlooked by previous lit...
Diagnostic Imaging Supervised Machine Learning Image Processing, Computer-Assisted Models, Statistical Humans Algorithms
View on PubMed DOI

Using statistical modelling and machine learning in detecting bone properties: A systematic review protocol.

PloS one Mar 11, 2025
INTRODUCTION: Osteoporosis, a common condition characterised by decreased bone mass and microarchitectural deterioration, leading to increased fracture risk, is a significant health concern. Traditional diagnostic methods, such as Dual-energy X-ray A...
Bone Density Systematic Reviews as Topic Bone and Bones Osteoporosis Absorptiometry, Photon Humans Models, Statistical Machine Learning
View on PubMed DOI

Introduction of a hybrid approach based on statistical shape model and Adaptive Neural Fuzzy Inference System (ANFIS) to assess dosimetry uncertainty: A Monte Carlo study.

Computers in biology and medicine Mar 10, 2025
The increasing use of ionizing radiation has raised concerns about adverse and long-term health risks for individuals. Therefore, to evaluate the range of risks and protection against ionizing radiation, it is necessary to assess the dosimetry calcul...
Uncertainty Lung Fuzzy Logic Humans Models, Statistical Monte Carlo Method Phantoms, Imaging Radiometry
View on PubMed DOI

Accuracy of machine learning and traditional statistical models in the prediction of postpartum haemorrhage: a systematic review.

BMJ open Mar 3, 2025
OBJECTIVES: To evaluate whether postpartum haemorrhage (PPH) can be predicted using both machine learning (ML) and traditional statistical models.
Risk Factors Models, Statistical Postpartum Hemorrhage Machine Learning Pregnancy Female Humans
View on PubMed DOI

Denoising Diffusion Probabilistic Model to Simulate Contrast-enhanced spinal MRI of Spinal Tumors: A Multi-Center Study.

Academic radiology Feb 28, 2025
RATIONALE AND OBJECTIVES: To generate virtual T1 contrast-enhanced (T1CE) sequences from plain spinal MRI sequences using the denoising diffusion probabilistic model (DDPM) and to compare its performance against one baseline model pix2pix and three a...
Contrast Media Magnetic Resonance Imaging Models, Statistical Computer Simulation Female Male Reproducibility of Results Middle Aged Aged Image Enhancement Humans Adult Signal-To-Noise Ratio Image Interpretation, Computer-Assisted Sensitivity and Specificity Algorithms Diffusion Magnetic Resonance Imaging Artifacts Spinal Neoplasms
View on PubMed DOI

A deep learning and statistical shape modeling-based method for assessing intercondylar notch volume in anterior cruciate ligament reconstruction.

The Knee Feb 28, 2025
BACKGROUND: Anterior cruciate ligament (ACL) reconstruction is a widely performed procedure for ACL injury, but there are several factors which may lead to re-rupture or clinical failure. An intercondylar notch (or fossa) that is narrower may increas...
Humans Imaging, Three-Dimensional Models, Statistical Knee Joint Female Male Deep Learning Anterior Cruciate Ligament Reconstruction Femur Anterior Cruciate Ligament Injuries
View on PubMed DOI

Study on the prediction performance of AIDS monthly incidence in Xinjiang based on time series and deep learning models.

BMC public health Feb 25, 2025
OBJECTIVE: AIDS is a highly fatal infectious disease of Class B, and Xinjiang is a high-incidence region for AIDS in China. The core of prevention and control lies in early monitoring and early warning. This study aims to identify the best model for ...
Incidence Humans Acquired Immunodeficiency Syndrome Forecasting Models, Statistical Deep Learning China
View on PubMed DOI

Machine learning or traditional statistical methods for predictive modelling in perioperative medicine: A narrative review.

Journal of clinical anesthesia Feb 19, 2025
Prediction of outcomes in perioperative medicine is key to decision-making and various prediction models have been created to help quantify and communicate those risks to both patients and clinicians. Increasingly, machine learning (ML) is being favo...
Models, Statistical Perioperative Care Humans Perioperative Medicine Machine Learning Algorithms
View on PubMed DOI

Scale-independent solid fraction prediction in dry granulation process using a gray-box model integrating machine learning model and Johanson model.

International journal of pharmaceutics Feb 15, 2025
We propose a novel approach for predicting the solid fraction after roller compaction processes. It is crucial to predict and control the solid fraction, as it has a significant impact on the product quality. The solid fraction can be theoretically p...
Technology, Pharmaceutical Chemistry, Pharmaceutical Particle Size Powders Machine Learning Drug Compounding Models, Statistical
View on PubMed DOI

Leveraging deep learning for nonlinear shape representation in anatomically parameterized statistical shape models.

International journal of computer assisted radiology and surgery Feb 14, 2025
PURPOSE: Statistical shape models (SSMs) are widely used for morphological assessment of anatomical structures. However, a key limitation is the need for a clear relationship between the model's shape coefficients and clinically relevant anatomical p...
Humans Tomography, X-Ray Computed Deep Learning Nonlinear Dynamics Imaging, Three-Dimensional Femur Models, Statistical
View on PubMed DOI
Popular Topics
Recent Journals