Key Points: Deep convolutional neural networks have the potential to facilitate contrast-enhanced mammography-based breast cancer diagnosis. The multi-feature fusion neural network reaches high accuracies in the classification of contrast-enhanced mammography images. The developed model...
Contrast-enhanced spectral mammography (CESM), an emerging digital mammography technology, has been approved by the U.S. FDA and put into clinical use in 2011. After intravenous iodine contrast agent, pairs of low-energy (LE) and high-energy images are acquired to generate the subtraction images...
PANDA was also supervised by pixel-wise annotations, including both the pancreas and the lesion, transferred by image registration from annotations on paired contrast-enhanced CT scans in which tumors were more visible. Dataset and annotation details are given in the Methods section. PANDA consists ...
The medical image is subjected to magnitude enhancement analysis such that at least one relative magnitude across at least a substantial portion of the image is depicted in an additional dimension relative to the at least 2-dimensions to provide a magnitude enhanced image such that additional levels...
Contrast-enhanced spectral mammography (CESM) shows the contents of breast tissue with appropriate sensitivity, which include benign and malignant symptoms and lesions. In Mass, the lesion is certain, but in non-mass enhancement (NME) symptoms, there is no uniform pattern and structure to distinguis...
Contrast-enhanced magnetic resonance imaging of breast lesions was reported in a preliminary study in 1986, and was shown to be more accurate than X-ray mammography and unenhanced MRI [153]. In the following years, various technical developments were described [154,155]. CE-MRI has since been...
Grating interferometry X-ray differential phase contrast imaging (GI-XDPCI) has provided enhanced imaging contrast and attracted more and more interests. Currently the low imaging efficiency and increased dose remain to be the bottlenecks in the engineering applications of GI-XDPCI. Different from the...
Size-tuning ionization to optimize gold nanoparticles for simultaneous enhanced CT imaging and radiotherapy. ACS Nano 10(2), 2536–2548 (2016). Article CAS PubMed Google Scholar Ross, R. D., Cole, L. E., Tilley, J. M. R. & Roeder, R. K. Effects of functionalized gold nanoparticle ...
Segmentation of the breast’s Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is one of the necessary tasks in the diagnosis and detection of breast cancer. Currently, a popular deep learning model, U-Net is extensively used in biomedical image segmentation. This article aims to ...
enhanced image such that additional levels of magnitudes of the color space dimension are substantially more cognizable to a human eye compared to the 2-dimensional image without the magnitude enhancement analysis; c) displaying at least a selected portion of the magnitude enhanced image on a ...