Vertebral Fracture Identification as Part of a Comprehensive Risk Assessment in Patients with Osteoporosis
Sign Up to like & getrecommendations! Published in 2018 at "Current Osteoporosis Reports"
DOI: 10.1007/s11914-018-0472-6
Abstract: Purpose of ReviewTo review current evidence regarding the vertebral fracture prevalence, the accuracy of vertebral fracture identification on current imaging technologies, and the potential impact of vertebral fracture identification on fracture risk.Recent FindingsImportant new studies… read more here.
Keywords: risk; fracture; fracture identification; assessment ... See more keywords
Fracture identification by semi-supervised learning using conventional logs in tight sandstones of Ordos Basin, China
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Natural Gas Science and Engineering"
DOI: 10.1016/j.jngse.2019.103131
Abstract: Abstract Fracture identification using conventional logs is a cost effective way of identifying fracture zones in reservoirs. However, there are challenging problems including complex well log responses and small amount of labelled data available from… read more here.
Keywords: fracture; semi supervised; conventional logs; fracture identification ... See more keywords
A Deep Learning Object Detection Method for Fracture Identification Using Conventional Well Logs
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3427364
Abstract: Reservoir characterization struggles with identifying fractures, a typical imbalance classification problem. To handle this issue, a novel approach called fracture identification by sliding windows and you only look once (YOLO) (FISY) is proposed. FISY utilizes… read more here.
Keywords: fracture identification; conventional well; object detection; identification ... See more keywords