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Abstract: Radiomics Processing Toolkit
Radiomics focuses on extracting and analyzing quantitative features from medical images. Standardizing radiomics is difficult due to variations...
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Prostate Cancer Detection: Performance of Radiomics Analysis in Multiparametric MRI
The purpose of the study was to evaluate the performance of radiomics analysis of MR images for the detection of prostate cancer. The radiomics...
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Radiomics Boosts Deep Learning Model for IPMN Classification
Intraductal Papillary Mucinous Neoplasm (IPMN) cysts are pre-malignant pancreas lesions, and they can progress into pancreatic cancer. Therefore,...
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Grading and Staging of Bladder Tumors Using Radiomics Analysis in Magnetic Resonance Imaging
Aim of this study was to evaluate the performance of MRI radiomics analysis in distinguishing low-grade (LG) versus high-grade (HG) bladder lesions...
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Application and prospects of AI-based radiomics in ultrasound diagnosis
Artificial intelligence (AI)-based radiomics has attracted considerable research attention in the field of medical imaging, including ultrasound...
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Radiomics Feature Selection from Thyroid Thermal Images to Improve Thyroid Nodules Interpretations
The early detection of malignant nodules and timely diagnosis of thyroid abnormalities play a crucial role in improving medical treatment outcomes...
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Radiomics and artificial intelligence in breast imaging: a survey
Medical imaging techniques, such as mammography, ultrasound and magnetic resonance imaging, plays an integral role in the detection and...
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Exploring the potential of Radiomics in identification and treatment of lung cancer: A systematic evaluation
Lung cancer is one of the most serious and life-threatening diseases in the world. Imaging modalities like computed tomography (CT) and Positron...
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Prediction of High Pathological Grade in Prostate Cancer Patients Undergoing [18F]-PSMA PET/CT: A Preliminary Radiomics Study
The aim of this study was to evaluate the effectiveness of [18F]-prostate-specific membrane antigen (PSMA) positron emission tomography/computed...
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Comprehensive integrated analysis of MR and DCE-MR radiomics models for prognostic prediction in nasopharyngeal carcinoma
Although prognostic prediction of nasopharyngeal carcinoma (NPC) remains a pivotal research area, the role of dynamic contrast-enhanced magnetic...
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Segmented Glioma Classification Using Radiomics-Based Machine Learning: A Comparative Analysis of Feature Selection Techniques
Accurate classification of glioma grades is crucial for effective treatment planning and patient prognosis. In this extended study, we propose a...
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Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer
Outcome prediction is crucial for head and neck cancer patients as it can provide prognostic information for early treatment planning. Radiomics...
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Optimizing the Size of Peritumoral Region for Assessing Non-Small Cell Lung Cancer Heterogeneity Using Radiomics
Objectives: Radiomics has a novel value in accurately and noninvasively characterizing non-small cell lung cancer (NSCLC), but the role of...
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GazeRadar: A Gaze and Radiomics-Guided Disease Localization Framework
We present GazeRadar, a novel radiomics and eye gaze-guided deep learning architecture for disease localization in chest radiographs. GazeRadar...
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Assessing the Robustness and Reproducibility of CT Radiomics Features in Non-small-cell Lung Carcinoma
The aim of this study was to investigate the robustness of radiomics features extracted from computed tomography (CT) images of patients affected by...
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Identification of COVID-19 with CT scans using radiomics and DL-based features
Deep learning plays a crucial role in identifying COVID-19 patients from computed tomography (CT) scans by leveraging its ability to analyze vast...
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Machine Learning in Lung Cancer Radiomics
Lung cancer is the leading cause of cancer-related deaths worldwide. Medical imaging technologies such as computed tomography (CT) and positron...
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Fusion and Radiomics Study of Multimodal Medical Images
With the tremendous technological advances in the medical field, various medical imagingMedical imaging devices have emerged to produce images that...
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CT-based radiomics: predicting early outcomes after percutaneous transluminal renal angioplasty in patients with severe atherosclerotic renal artery stenosis
This study aimed to comprehensively evaluate non-contrast computed tomography (CT)-based radiomics for predicting early outcomes in patients with...
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Non-invasively identifying candidates of active surveillance for prostate cancer using magnetic resonance imaging radiomics
Active surveillance (AS) is the primary strategy for managing patients with low or favorable-intermediate risk prostate cancer (PCa). Identifying...
