AIMC Topic: Multiparametric Magnetic Resonance Imaging

Clear Filters Showing 31 to 40 of 145 articles

Navigating the gray zone: Machine learning can differentiate malignancy in PI-RADS 3 lesions.

Urologic oncology Sep 28, 2024
INTRODUCTION: The objective of this study is to predict the probability of prostate cancer in PI-RADS 3 lesions using machine learning methods that incorporate clinical and mpMRI parameters.
Male Middle Aged Prostatic Neoplasms Multiparametric Magnetic Resonance Imaging Humans Machine Learning Aged
View on PubMed DOI

Deep Learning and Habitat Radiomics for the Prediction of Glioma Pathology Using Multiparametric MRI: A Multicenter Study.

Academic radiology Sep 24, 2024
RATIONALE AND OBJECTIVES: Recent radiomics studies on predicting pathological outcomes of glioma have shown immense potential. However, the predictive ability remains suboptimal due to the tumor intrinsic heterogeneity. We aimed to achieve better pat...
Deep Learning Radiomics Humans Image Interpretation, Computer-Assisted Glioma Brain Neoplasms Isocitrate Dehydrogenase Female Neoplasm Grading Male Multiparametric Magnetic Resonance Imaging Aged Mutation Middle Aged Adult
View on PubMed DOI

Multiparametric MRI-based radiomics combined with 3D deep transfer learning to predict cervical stromal invasion in patients with endometrial carcinoma.

Abdominal radiology (New York) Sep 14, 2024
OBJECTIVE: To develop and compare various preoperative cervical stromal invasion (CSI) prediction models, including radiomics, three-dimensional (3D) deep transfer learning (DTL), and integrated models, using single-sequence and multiparametric MRI.
Radiomics Middle Aged Deep Learning Imaging, Three-Dimensional Retrospective Studies Predictive Value of Tests Humans Female Image Interpretation, Computer-Assisted Aged Endometrial Neoplasms Adult Multiparametric Magnetic Resonance Imaging Contrast Media Magnetic Resonance Imaging Cervix Uteri Neoplasm Invasiveness
View on PubMed DOI

Multiparametric MRI-Based Deep Learning Radiomics Model for Assessing 5-Year Recurrence Risk in Non-Muscle Invasive Bladder Cancer.

Journal of magnetic resonance imaging : JMRI Aug 21, 2024
BACKGROUND: Accurately assessing 5-year recurrence rates is crucial for managing non-muscle-invasive bladder carcinoma (NMIBC). However, the European Organization for Research and Treatment of Cancer (EORTC) model exhibits poor performance.
Humans Retrospective Studies Female Reproducibility of Results Risk Factors Neoplasm Invasiveness Risk Assessment Neoplasm Recurrence, Local Deep Learning Aged Urinary Bladder Magnetic Resonance Imaging Radiomics Multiparametric Magnetic Resonance Imaging Urinary Bladder Neoplasms Non-Muscle Invasive Bladder Neoplasms Male Middle Aged
View on PubMed DOI

Predictive Study of Machine Learning-Based Multiparametric MRI Radiomics Nomogram for Perineural Invasion in Rectal Cancer: A Pilot Study.

Journal of imaging informatics in medicine Aug 15, 2024
This study aimed to establish and validate the efficacy of a nomogram model, synthesized through the integration of multi-parametric magnetic resonance radiomics and clinical risk factors, for forecasting perineural invasion in rectal cancer. We retr...
Nomograms Neoplasm Invasiveness Rectal Neoplasms Multiparametric Magnetic Resonance Imaging Radiomics Male Middle Aged Pilot Projects Female Aged Adult Humans Machine Learning Retrospective Studies
View on PubMed DOI

Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors.

AJNR. American journal of neuroradiology Aug 9, 2024
BACKGROUND AND PURPOSE: Tumor segmentation is essential in surgical and treatment planning and response assessment and monitoring in pediatric brain tumors, the leading cause of cancer-related death among children. However, manual segmentation is tim...
Child Imaging, Three-Dimensional Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Infant Deep Learning Adolescent Child, Preschool Multiparametric Magnetic Resonance Imaging Humans Female Brain Neoplasms Male
View on PubMed DOI

Deep Learning-Based Techniques in Glioma Brain Tumor Segmentation Using Multi-Parametric MRI: A Review on Clinical Applications and Future Outlooks.

Journal of magnetic resonance imaging : JMRI Jul 29, 2024
This comprehensive review explores the role of deep learning (DL) in glioma segmentation using multiparametric magnetic resonance imaging (MRI) data. The study surveys advanced techniques such as multiparametric MRI for capturing the complex nature o...
Humans Glioma Brain Neoplasms Neural Networks, Computer Data Accuracy Disease Progression Computer Simulation Image Interpretation, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Multiparametric Magnetic Resonance Imaging
View on PubMed DOI

Comparison of data fusion strategies for automated prostate lesion detection using mpMRI correlated with whole mount histology.

Radiation oncology (London, England) Jul 29, 2024
BACKGROUND: In this work, we compare input level, feature level and decision level data fusion techniques for automatic detection of clinically significant prostate lesions (csPCa).
Humans Middle Aged Aged Deep Learning Male Prostatic Neoplasms Image Interpretation, Computer-Assisted Multiparametric Magnetic Resonance Imaging
View on PubMed DOI

Multi-parametric MRI-based machine learning model for prediction of pathological grade of renal injury in a rat kidney cold ischemia-reperfusion injury model.

BMC medical imaging Jul 26, 2024
BACKGROUND: Renal cold ischemia-reperfusion injury (CIRI), a pathological process during kidney transplantation, may result in delayed graft function and negatively impact graft survival and function. There is a lack of an accurate and non-invasive t...
Machine Learning Animals Male Kidney Reperfusion Injury Rats Multiparametric Magnetic Resonance Imaging Magnetic Resonance Imaging Rats, Sprague-Dawley Disease Models, Animal
View on PubMed DOI

Detection of diffusely abnormal white matter in multiple sclerosis on multiparametric brain MRI using semi-supervised deep learning.

Scientific reports Jul 26, 2024
In addition to focal lesions, diffusely abnormal white matter (DAWM) is seen on brain MRI of multiple sclerosis (MS) patients and may represent early or distinct disease processes. The role of MRI-observed DAWM is understudied due to a lack of automa...
Multiple Sclerosis White Matter Multiparametric Magnetic Resonance Imaging Middle Aged Deep Learning Magnetic Resonance Imaging Humans Supervised Machine Learning Brain Female Adult Male
View on PubMed DOI
Popular Topics
Recent Journals