We propose a framework based on cascaded coarse-to-fine network, combined with hybrid loss function for eyeball segmentation in CT images.
Sep 6, 2021 · We propose a framework based on cascaded coarse-to-fine network, combined with hybrid loss function for eyeball segmentation in CT images.
Cascaded Coarse-to-fine Network with Hybrid Loss for Eyeball Segmentation in CT Image ... Multi-Scale Hybrid Attention Cascade Network for Pancreas Segmentation.
Cascaded Coarse-to-fine Network with Hybrid Loss for Eyeball Segmentation in CT Image. A. Zhang, W. Li, J. Shi, J. Fan, M. Gao, and J. Yang.
本文提出了一种基于级联粗到精网络，结合混合损失函数的CT图像眼球分割框架。细化模块的应用优化了粗分割结果。由CE、IoU和SSIM组成的混合损失函数同时监督分割的区域和 ...
Cascaded Coarse-to-fine Network with Hybrid Loss for Eyeball Segmentation in CT Image · Modality specific U-Net variants for biomedical image segmentation: a ...
Mar 2, 2023 · This paper proposed an automatic lung lobe segmentation method on lung CT images. Considering the boundary of the lung lobe is difficult to be identified.
CNN‐based CT denoising methods use a network architecture consisting of multiple layers of convolutional filters to learn features from the noisy input images ...
An original Coarse-to-Fine Transformer Network (C2FTFNet) is designed to segment OD and OC jointly, which is composed of two stages.
List of Papers. • 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images.