Explore QAMEBI publications on AI, quantitative medical imaging, bioengineering and optical methods advancing diagnosis and biological research.
Determining an effective filter can reduce speckle noise and improve segmentation performances. The aim of this study was to define a useful filter to improve the segmentation outcome…
This study investigated the potential of a clinical decision support approach for the classification of metastatic and tumor-free cervical lymph nodes (LNs) in papillary thyroid carcinoma…
This study aimed to explore the potential of the Z-scan technique to improve accuracy in identifying SK-BR-3 and MCF-7 breast cancer cell lines…
This study investigated the potentiality of ultrasound imaging to classify hot and cold thyroid nodules on the basis of textural and morphological analysis…
The aim of this study was to evaluate texture analysis (TA) in scintigraphic imaging to detect changes in kidney status after transplantation…
The aim of this study was to evaluate the ability of CCTA to predict myocardial ischemia in patients with MB…
To explore the potential of texture analysis based on run-length matrix features for classifying benign and malignant breast tumors in ultrasound imaging…
Hyperthermia and radiation have the ability to induce structural and morphological changes on both macroscopic and microscopic level. Normal and damage cells have a different texture but may be perceived by human eye, as having the same texture…
Computer-aided diagnostic system based on texture analysis in ultrasonographic imaging is recommended to identify changes in kidney function after allograft transplantation…
The aim of this study was to investigate the radioprotective effect of selenium and vitamin-E separately and synergistically against genotoxicity induced by 6MV x-rays irradiation in blood lymphocytes…
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).
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…
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…
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…
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.