A large-scale dataset of both raw MRI measurements and clinical MRI images. - facebookresearch/fastMRI
Correction of images in an open-configuration MR imaging system for radiation therapy planning and Interventional MRIGeometric distortionImage correctionMagnetic resonance imagingIn this paper, we present a method to remove system induced geometric distortions in MR images. A large 3D phantom with ...
Figure 2a provides an overview of the distribution of images across different medical imaging modalities in the dataset, ranked by their total numbers. It is evident that computed tomography (CT), magnetic resonance imaging (MRI), and endoscopy are the dominant modalities, reflecting their ubiquity ...
of the 1,863 IBD patients in our pouch database, 410 had pelvic MRI, 197 had pelvic MRI-DIXON-F. Of the 197 patients, only 27 had undergone both pelvic CT scan and pelvic MRI-DIXON-F scan within one year, and all of
The paper presents a multidimensional nonlinear edge-preserving filter for restoration and enhancement of magnetic resonance images (MRI). The filter uses ... H Soltanian-Zadeh,JP Windham,AE Yagle - 《IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society》 被引...
This makes transmitting medical image data, within an open network, problematic, due to the aforementioned issues, along with the dangers of data/information leakage. Possible solutions in the past have included the utilization of information-hiding and image-encryption technologies; however, these ...
Bohare MD, Cheeran AN, Sarode VG (2011) Analysis of breast mri images using wavelets for detection of cancer. IJCA Special Issue on Electronics. Inf Commun Eng 4:1–3 Google Scholar Boukerroui D, Basset O, Guerin N, Baskurt A (1998) Multiresolution texture based adaptive clustering al...
Here we present ATLAS (Anatomical Tracings of Lesions After Stroke), an open-source dataset of 304 T1-weighted MRIs with manually segmented lesions and metadata. This large, diverse dataset can be used to train and test lesion segmentation algorithms and provides a standardized dataset for ...
A standardized pre-processing pipeline is proposed for the use of radiomics in MRI of brain tumours. For models based on first- and second-order features, we recommend normalizing images with the Z-Score method and adopting an absolute discretization approach. For second-order feature-based ...
an integrated approach using ResNet50, a deep learning model, combined with Gradient-weighted Class Activation Mapping (Grad-CAM) to offer a transparent and explainable framework for brain tumor detection. We employed a dataset of MRI images, enhanced through data augmentation, to train and ...