AIMC Topic: Radiomics

Clear Filters Showing 431 to 440 of 622 articles

Reply to comment on predicting the risk stratification of gastrointestinal stromal tumors using machine learning‑based ultrasound radiomics.

Journal of medical ultrasonics (2001) Mar 11, 2024
Humans Machine Learning Radiomics Risk Assessment Ultrasonography Gastrointestinal Neoplasms Gastrointestinal Stromal Tumors
View on PubMed DOI

MRI-Based Machine Learning Radiomics for Preoperative Assessment of Human Epidermal Growth Factor Receptor 2 Status in Urothelial Bladder Carcinoma.

Journal of magnetic resonance imaging : JMRI Mar 8, 2024
BACKGROUND: The human epidermal growth factor receptor 2 (HER2) has recently emerged as hotspot in targeted therapy for urothelial bladder cancer (UBC). The HER2 status is mainly identified by immunohistochemistry (IHC), preoperative and noninvasive ...
Aged Aged, 80 and over Radiomics Male Algorithms Retrospective Studies Female Urinary Bladder Neoplasms Receptor, ErbB-2 Middle Aged ROC Curve Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Machine Learning
View on PubMed DOI

Machine-Learning and Radiomics-Based Preoperative Prediction of Ki-67 Expression in Glioma Using MRI Data.

Academic radiology Mar 7, 2024
BACKGROUND: Gliomas are the most common primary brain tumours and constitute approximately half of all malignant glioblastomas. Unfortunately, patients diagnosed with malignant glioblastomas typically survive for less than a year. In light of this ci...
Brain Neoplasms Male Middle Aged Glioma Magnetic Resonance Imaging Ki-67 Antigen Young Adult Adult Radiomics Biomarkers, Tumor Retrospective Studies Humans Female Machine Learning Aged
View on PubMed DOI

Differentiation of testicular seminomas from nonseminomas based on multiphase CT radiomics combined with machine learning: A multicenter study.

European journal of radiology Mar 7, 2024
BACKGROUND: Differentiating seminomas from nonseminomas is crucial for formulating optimal treatment strategies for testicular germ cell tumors (TGCTs). Therefore, our study aimed to develop and validate a clinical-radiomics model for this purpose.
Reproducibility of Results Male Young Adult Middle Aged Humans Adult Testicular Neoplasms Diagnosis, Differential Radiomics Seminoma Machine Learning Neoplasms, Germ Cell and Embryonal Retrospective Studies Tomography, X-Ray Computed
View on PubMed DOI

Deep learning-based automatic segmentation of meningioma from T1-weighted contrast-enhanced MRI for preoperative meningioma differentiation using radiomic features.

BMC medical imaging Mar 5, 2024
BACKGROUND: This study aimed to establish a dedicated deep-learning model (DLM) on routine magnetic resonance imaging (MRI) data to investigate DLM performance in automated detection and segmentation of meningiomas in comparison to manual segmentatio...
Humans Radiomics Meningeal Neoplasms Deep Learning Magnetic Resonance Imaging Meningioma
View on PubMed DOI

Evaluation of the performance of both machine learning models using PET and CT radiomics for predicting recurrence following lung stereotactic body radiation therapy: A single-institutional study.

Journal of applied clinical medical physics Mar 4, 2024
PURPOSE: Predicting recurrence following stereotactic body radiotherapy (SBRT) for non-small cell lung cancer provides important information for the feasibility of the individualized radiotherapy and allows to select the appropriate treatment strateg...
Neoplasm Recurrence, Local Radiotherapy Planning, Computer-Assisted Prognosis Radiotherapy Dosage Retrospective Studies Radiotherapy, Intensity-Modulated Aged, 80 and over Humans Female Image Processing, Computer-Assisted Radiosurgery Radiomics Machine Learning Aged Lung Neoplasms Male Algorithms Carcinoma, Non-Small-Cell Lung Middle Aged Positron Emission Tomography Computed Tomography
View on PubMed DOI

Comment on "Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics".

Journal of medical ultrasonics (2001) Mar 2, 2024
Risk Assessment Humans Ultrasonography Machine Learning Gastrointestinal Neoplasms Radiomics Gastrointestinal Stromal Tumors
View on PubMed DOI

Deep Learning Radiomics Analysis of CT Imaging for Differentiating Between Crohn's Disease and Intestinal Tuberculosis.

Journal of imaging informatics in medicine Feb 29, 2024
This study aimed to develop and evaluate a CT-based deep learning radiomics model for differentiating between Crohn's disease (CD) and intestinal tuberculosis (ITB). A total of 330 patients with pathologically confirmed as CD or ITB from the First Af...
Young Adult Adult Radiomics Male Retrospective Studies Tomography, X-Ray Computed Female Tuberculosis, Gastrointestinal Humans Middle Aged Deep Learning Diagnosis, Differential Crohn Disease
View on PubMed DOI

Prognostic Value of a Combined Nomogram Model Integrating 3-Dimensional Deep Learning and Radiomics for Head and Neck Cancer.

Journal of computer assisted tomography Feb 27, 2024
OBJECTIVE: The preoperative prediction of the overall survival (OS) status of patients with head and neck cancer (HNC) is significant value for their individualized treatment and prognosis. This study aims to evaluate the impact of adding 3D deep lea...
Male Middle Aged Deep Learning Imaging, Three-Dimensional Nomograms Head and Neck Neoplasms Positron Emission Tomography Computed Tomography Humans Female Prognosis Aged Retrospective Studies Adult Radiomics
View on PubMed DOI

Deep Learning Radiomic Analysis of MRI Combined with Clinical Characteristics Diagnoses Placenta Accreta Spectrum and its Subtypes.

Journal of magnetic resonance imaging : JMRI Feb 23, 2024
BACKGROUND: Different placenta accreta spectrum (PAS) subtypes pose varying surgical risks to the parturient. Machine learning model has the potential to diagnose PAS disorder.
Placenta Previa Deep Learning ROC Curve Magnetic Resonance Imaging Humans Placenta Accreta Retrospective Studies Female Pregnancy Adult Radiomics
View on PubMed DOI
Popular Topics
Recent Journals