Radiomics in predicting mutation status for thyroid cancer: A preliminary study using radiomics features for predicting BRAF^V600E mutations in papillary thyroid carcinoma

Medicine and Dentistry

• Radiomics 70%
• Thyroid Gland 70%
• Athletic Training 30%
• Echography 30%
• Malignant Neoplasm 20%
• Analysis 20%
• Specimen 10%
• Biological Marker 10%
• Logistic Regression Analysis 10%
• Subgroup Analysis 10%
• Thyroid Cancer 10%
• Papillary Thyroid Cancer 10%
• Association 10%
• Tenidap 10%

Nursing and Health Professions

• Patient 100%
• Echography 30%
• Malignant Neoplasm 20%
• Analysis 20%
• Logistic Regression Analysis 10%
• Biological Marker 10%
• Thyroid Cancer 10%
• Procedures 10%
• Prediction 10%
• Tenidap 10%
• Thyroid Papillary Carcinoma 10%
• Feature Extraction 10%

Biochemistry, Genetics and Molecular Biology

• Mutation 80%
• Radiomics 70%
• Ultrasonography 30%
• Training 30%
• Feature Extraction 10%
• Association 10%