[PDF][PDF] 基于深度学习的较复杂背景下桥梁裂缝检测
杨杰文， 章光， 陈西江， 班亚 - 铁道科学与工程学报, 2020 - academia.edu
桥梁的定期裂缝检测对于确保桥梁的安全运行至关重要, 而目前的人工检测方法不仅耗时费力,
还存在诸多不安全因素. 而桥梁裂缝还具有多种噪声模式, 因此, 针对桥梁裂缝的高效检测成为了 …
还存在诸多不安全因素. 而桥梁裂缝还具有多种噪声模式, 因此, 针对桥梁裂缝的高效检测成为了 …
Tooth CT Image Segmentation Method Based on the U‐Net Network and Attention Module
S Tao, Z Wang - Computational and Mathematical Methods in …, 2022 - Wiley Online Library
Traditional image segmentation methods often encounter problems of low segmentation
accuracy and being time‐consuming when processing complex tooth Computed …
accuracy and being time‐consuming when processing complex tooth Computed …
DFUNET: A Residual Network for Retinal Vessel
C Wu, Y Cheng, W Li, Z Yang… - 2021 16th International …, 2021 - ieeexplore.ieee.org
Retinal vascular status is a reliable biological indicator of a variety of ophthalmic and
cardiovascular diseases, so automatic segmentation of blood vessels is essential for the …
cardiovascular diseases, so automatic segmentation of blood vessels is essential for the …
[引用][C] A Novel Cardiac Image Segmentation Method Using an Optimized 3D U-Net Model
X Dong, X Mao, J Yao - Journal of Mechanics in Medicine and …, 2023 - World Scientific
Medical image segmentation holds significant importance for doctors, patients, and the
entire health care industry. For doctors, it provides more accurate information about cardiac …
entire health care industry. For doctors, it provides more accurate information about cardiac …