https://www.selleckchem.com/products/rmc-6236.html
Accurate segmentation of left ventricle (LV) is a fundamental step in evaluation of cardiac function. Cardiac CT angiography (CCTA) has become an important clinical diagnostic method for cardio-vascular disease (CVD) due to its non-invasive, short exam time, and low cost. To obtain the segmentation of the LV in CCTA scans, we present a deep learning method based on an 8-layer residual U-Net with deep supervision. Based on the original 4-layer U-Net, our method deepened the network to eight layers, which increased the fitting capacity o
Like
Comment
Share
