Journal of magnetic resonance imaging : JMRI
-
J Magn Reson Imaging · May 2019
Optimizing Texture Retrieving Model for Multimodal MR Image-Based Support Vector Machine for Classifying Glioma.
Accurate glioma grading plays an important role in patient treatment. ⋯ 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:1263-1274.
-
J Magn Reson Imaging · May 2019
Quantitative Identification of Nonmuscle-Invasive and Muscle-Invasive Bladder Carcinomas: A Multiparametric MRI Radiomics Analysis.
Preoperative discrimination between nonmuscle-invasive bladder carcinomas (NMIBC) and the muscle-invasive ones (MIBC) is very crucial in the management of patients with bladder cancer (BC). ⋯ 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:1489-1498.
-
J Magn Reson Imaging · May 2019
Summarizing the 4D image stack of ultrafast dynamic contrast enhancement MRI of breast cancer in 3D using color intensity projections.
Each ultrafast dynamic contrast-enhanced (DCE) MRI sequence for breast cancer generates thousands of images in a 4D stack that need to be reviewed by a radiologist. ⋯ 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:1391-1399.
-
J Magn Reson Imaging · May 2019
Characterization of clinical human prostate cancer lesions using 3.0-T sodium MRI registered to Gleason-graded whole-mount histopathology.
Overtreatment of prostate cancer (PCa) is a healthcare issue. Development of noninvasive imaging tools for improved characterization of prostate lesions might reduce overtreatment. ⋯ 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:1409-1419.
-
J Magn Reson Imaging · Apr 2019
ReviewDeep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI.
Deep learning is a branch of artificial intelligence where networks of simple interconnected units are used to extract patterns from data in order to solve complex problems. Deep-learning algorithms have shown groundbreaking performance in a variety of sophisticated tasks, especially those related to images. They have often matched or exceeded human performance. ⋯ Magn. Reson. Imaging 2019;49:939-954.