An automated deep learning approach for spine segmentation and vertebrae recognition using computed tomography images
Spine image analysis is based on the accurate segmentation and vertebrae recognition of
the spine. Several deep learning models have been proposed for spine segmentation and …
the spine. Several deep learning models have been proposed for spine segmentation and …
Automatic measurement algorithm of scoliosis Cobb angle based on deep learning
Y Tu, N Wang, F Tong, H Chen - Journal of Physics: Conference …, 2019 - iopscience.iop.org
Aiming at the subjective experience of the physician, the high measurement error in the
Cobb angle measurement of scoliosis X-ray images and the X-ray image of spine is difficult …
Cobb angle measurement of scoliosis X-ray images and the X-ray image of spine is difficult …
Aluminum surface defect detection method based on a lightweight YOLOv4 network
S Li, S Guo, Z Han, C Kou, B Huang, M Luan - Scientific Reports, 2023 - nature.com
Deep learning is currently being used to automate surface defect detection in aluminum. The
common target detection models based on neural networks often have a large number of …
common target detection models based on neural networks often have a large number of …
A review on yolov8 and its advancements
M Sohan, T Sai Ram, R Reddy, C Venkata - International Conference on …, 2024 - Springer
Object detection is a crucial task in computer vision that has its application in various fields
like robotics, medical imaging, surveillance systems, and autonomous vehicles. The newest …
like robotics, medical imaging, surveillance systems, and autonomous vehicles. The newest …
改进YOLOv3 的金属表面缺陷检测研究.
程婧怡， 段先华， 朱伟 - Journal of Computer Engineering & …, 2021 - search.ebscohost.com
针对金属表面缺陷检测中目标尺寸小和特征不清晰导致漏检的问题, 提出一种改进YOLOv3
的金属缺陷检测算法. 在YOLOv3 网络结构的基础上, 将第11 层浅层特征与网络深层特征融合 …
的金属缺陷检测算法. 在YOLOv3 网络结构的基础上, 将第11 层浅层特征与网络深层特征融合 …