Radiomics

AdaRes: A deep learning-based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies.

Journal of clinical ultrasound : JCU Nov 20, 2023

PURPOSE: The quality of ultrasound images is degraded by speckle and Gaussian noises. This study aims to develop a deep-learning (DL)-based filter for ultrasound image denoising.

Ultrasonography Signal-To-Noise Ratio Humans Artificial Intelligence Radiomics Deep Learning

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Development and Validation of a Machine Learning-Based Model Using CT Radiomics for Predicting Immune Checkpoint Inhibitor-related Pneumonitis in Patients With NSCLC Receiving Anti-PD1 Immunotherapy: A Multicenter Retrospective CaseControl Study.

Academic radiology Nov 17, 2023

RATIONALE AND OBJECTIVES: This study aimed to develop and evaluate a radiomics-based model combined with clinical and qualitative radiological (semantic feature [SF]) features to predict immune checkpoint inhibitor-related pneumonitis (CIP) in patien...

Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Lung Neoplasms Radiomics Immunotherapy Male Carcinoma, Non-Small-Cell Lung Middle Aged Pneumonia Immune Checkpoint Inhibitors

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Editorial for "Glioblastoma and Solitary Brain Metastasis: Differentiation by Integrating Demographic-MRI and Deep-Learning Radiomics Signatures".

Journal of magnetic resonance imaging : JMRI Nov 16, 2023

Humans Brain Radiomics Brain Neoplasms Deep Learning Magnetic Resonance Imaging Diagnosis, Differential Glioblastoma

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Combined model integrating deep learning, radiomics, and clinical data to classify lung nodules at chest CT.

La Radiologia medica Nov 16, 2023

OBJECTIVES: The study aimed to develop a combined model that integrates deep learning (DL), radiomics, and clinical data to classify lung nodules into benign or malignant categories, and to further classify lung nodules into different pathological su...

Lung Deep Learning Lung Neoplasms Humans Tomography, X-Ray Computed Radiomics

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Glioblastoma and Solitary Brain Metastasis: Differentiation by Integrating Demographic-MRI and Deep-Learning Radiomics Signatures.

Journal of magnetic resonance imaging : JMRI Nov 13, 2023

BACKGROUND: Studies have shown that deep-learning radiomics (DLR) could help differentiate glioblastoma (GBM) from solitary brain metastasis (SBM), but whether integrating demographic-MRI and DLR features can more accurately distinguish GBM from SBM ...

Diagnosis, Differential Glioblastoma Middle Aged Deep Learning Nomograms Magnetic Resonance Imaging Brain Retrospective Studies Female Aged Adult Radiomics Brain Neoplasms Male Humans

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Editorial for "A Machine Learning-Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2-Weighted and Diffusion-Weighted MRI".

Journal of magnetic resonance imaging : JMRI Nov 10, 2023

Humans Machine Learning Diagnosis, Differential Breast Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Female Breast Neoplasms Radiomics Magnetic Resonance Imaging

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Prediction of early hematoma expansion of spontaneous intracerebral hemorrhage based on deep learning radiomics features of noncontrast computed tomography.

European radiology Nov 8, 2023

OBJECTIVES: Aimed to develop a nomogram model based on deep learning features and radiomics features for the prediction of early hematoma expansion.

Middle Aged Deep Learning Nomograms Cerebral Hemorrhage Predictive Value of Tests Humans Female Retrospective Studies Aged Tomography, X-Ray Computed Hematoma Radiomics Male

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A Machine Learning-Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2-Weighted and Diffusion-Weighted MRI.

Journal of magnetic resonance imaging : JMRI Nov 7, 2023

BACKGROUND: Breast MRI has been recommended as supplemental screening tool to mammography and breast ultrasound of breast cancer by international guidelines, but its long examination time and use of contrast material remains concerning.

Aged Adult Breast Neoplasms Radiomics Humans Area Under Curve Middle Aged Machine Learning Prospective Studies Contrast Media Breast Retrospective Studies Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Female Diagnosis, Differential Diffusion Magnetic Resonance Imaging Reproducibility of Results

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Development of an MRI-Based Comprehensive Model Fusing Clinical, Radiomics and Deep Learning Models for Preoperative Histological Stratification in Intracranial Solitary Fibrous Tumor.

Journal of magnetic resonance imaging : JMRI Oct 28, 2023

BACKGROUND: Accurate preoperative histological stratification (HS) of intracranial solitary fibrous tumors (ISFTs) can help predict patient outcomes and develop personalized treatment plans. However, the role of a comprehensive model based on clinica...

Retrospective Studies Feasibility Studies Female Preoperative Period Aged Solitary Fibrous Tumors Humans Adult Middle Aged Young Adult Radiomics Deep Learning Brain Neoplasms ROC Curve Male Magnetic Resonance Imaging

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Magnetic Resonance Deep Learning Radiomic Model Based on Distinct Metastatic Vascular Patterns for Evaluating Recurrence-Free Survival in Hepatocellular Carcinoma.

Journal of magnetic resonance imaging : JMRI Oct 27, 2023

BACKGROUND: The metastatic vascular patterns of hepatocellular carcinoma (HCC) are mainly microvascular invasion (MVI) and vessels encapsulating tumor clusters (VETC). However, most existing VETC-related radiological studies still focus on the predic...

Neoplasm Recurrence, Local Radiomics Disease-Free Survival Male Middle Aged Deep Learning Aged Humans Aged, 80 and over Retrospective Studies China Young Adult Female Liver Neoplasms Adult Carcinoma, Hepatocellular Magnetic Resonance Imaging

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AdaRes: A deep learning-based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies.

Development and Validation of a Machine Learning-Based Model Using CT Radiomics for Predicting Immune Checkpoint Inhibitor-related Pneumonitis in Patients With NSCLC Receiving Anti-PD1 Immunotherapy: A Multicenter Retrospective CaseControl Study.

Editorial for "Glioblastoma and Solitary Brain Metastasis: Differentiation by Integrating Demographic-MRI and Deep-Learning Radiomics Signatures".

Combined model integrating deep learning, radiomics, and clinical data to classify lung nodules at chest CT.

Glioblastoma and Solitary Brain Metastasis: Differentiation by Integrating Demographic-MRI and Deep-Learning Radiomics Signatures.

Editorial for "A Machine Learning-Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2-Weighted and Diffusion-Weighted MRI".

Prediction of early hematoma expansion of spontaneous intracerebral hemorrhage based on deep learning radiomics features of noncontrast computed tomography.

A Machine Learning-Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2-Weighted and Diffusion-Weighted MRI.

Development of an MRI-Based Comprehensive Model Fusing Clinical, Radiomics and Deep Learning Models for Preoperative Histological Stratification in Intracranial Solitary Fibrous Tumor.

Magnetic Resonance Deep Learning Radiomic Model Based on Distinct Metastatic Vascular Patterns for Evaluating Recurrence-Free Survival in Hepatocellular Carcinoma.

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