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Explore QAMEBI publications on AI, quantitative medical imaging, bioengineering and optical methods advancing diagnosis and biological research.

Quantitative MRI texture analysis in differentiating enhancing and non-enhancing T1-hypointense lesions without application of contrast agent in multiple sclerosis‏

The aim of this study was to evaluate texture analysis (TA) in pre-contrast injection MR images to improve accuracy and to identify subtle diff erences between enhanc ing lesions (ELs), non-enhanc ing lesions (NELs) and persistent black holes (PBHs).

Classification of benign and malignant thyroid nodules using wavelet texture analysis of sonograms‏

The purpose of this study was to evaluate a computer-aided diagnostic system using texture analysis to improve radiologic accuracy for identification of thyroid nodules as malignant or benign…

Application of texture analysis in diagnosis of multiple sclerosis by magnetic resonance imaging‏

The aim of the study was to evaluate computer aided diagnosis (CAD) system using texture analysis (TA) in MR images to improve accuracy in identification of subtle differences in brain tissue structure…

Application of texture analysis method for classification of benign and malignant thyroid nodules in ultrasound images‏

The aim of this study was to evaluate computer aided diagnosis (CAD) system with texture analysis (TA) to improve radiologists’ accuracy in identification of thyroid nodules as malignant or benign…

Classification of Breast Tumors Using Sonographic Texture Analysis

The purpose of this study was to evaluate a computer-aided diagnostic system with texture analysis to improve radiologists’ accuracy in the identification of breast tumors as malignant or benign.