Radiomics

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Machine learning risk stratification coronary artery disease computed tomography adipose tissue Breast cancer artificial intelligence (ai) computer-aided diagnosis independent statistical testing quantitative mri Deep learning dce-mri resnet breast cancer diagnosis peritumor tissue lung cancer pattern recognition quantitative imaging biomarker Magnetic resonance imaging breast neoplasms

Radiomics

Related Articles & Bibliographies

A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.

Influence of size, crosslinking degree and surface structure of poly(N-vinylcaprolactam)-based microgels on their penetration into multicellular tumor spheroids.

Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution.

Diagnosis of Benign and Malignant Breast Lesions on DCE-MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue.

CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms.

Exploring breast cancer response prediction to neoadjuvant systemic therapy using MRI-based radiomics: A systematic review.

Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status.

Detection of Dominant Intra-prostatic Lesions in Patients With Prostate Cancer Using an Artificial Neural Network and MR Multi-modal Radiomics Analysis.

Multiparametric quantitative and texture F-FDG PET/CT analysis for primary malignant tumour grade differentiation.

Unilateral Condylar Hyperplasia: A Comparison With Two Open-Source Softwares.

Radiomic profiles in diffuse glioma reveal distinct subtypes with prognostic value.

DIPLOMA Approach for Standardized Pathology Assessment of Distal Pancreatectomy Specimens.

Machine learning applications in prostate cancer magnetic resonance imaging.

Radiomic-Based Quantitative CT Analysis of Pure Ground-Glass Nodules to Predict the Invasiveness of Lung Adenocarcinoma.

Radiomics in Lung Diseases Imaging: State-of-the-Art for Clinicians

Preoperative radiomics models using CT and MRI for microsatellite instability in colorectal cancer: a systematic review and meta-analysis.