Investigation into performance of deep excavation in sand covered karst: A case report
Sign Up to like & getrecommendations! Published in 2018 at "Soils and Foundations"
DOI: 10.1016/j.sandf.2018.03.012
Abstract: Abstract Performing deep excavations in karst regions is likely lead to geo-hazards, e.g. sinkholes, water ingress, and ground surface settlement. This case report presents the performance of a 16-m deep excavation in sand covered karst… read more here.
Keywords: case; sand covered; deep excavation; performance deep ... See more keywords
The Performance of Deep Learning Algorithms on Automatic Pulmonary Nodule Detection and Classification Tested on Different Datasets That Are Not Derived from LIDC-IDRI: A Systematic Review
Sign Up to like & getrecommendations! Published in 2019 at "Diagnostics"
DOI: 10.3390/diagnostics9040207
Abstract: The aim of this study was to systematically review the performance of deep learning technology in detecting and classifying pulmonary nodules on computed tomography (CT) scans that were not from the Lung Image Database Consortium… read more here.
Keywords: deep learning; lidc idri; pulmonary nodule; performance ... See more keywords
Performance of deep-learning artificial intelligence algorithms in detecting retinopathy of prematurity: A systematic review
Sign Up to like & getrecommendations! Published in 2022 at "Saudi Journal of Ophthalmology"
DOI: 10.4103/sjopt.sjopt_219_21
Abstract: PURPOSE: Artificial intelligence (AI) offers considerable promise for retinopathy of prematurity (ROP) screening and diagnosis. The development of deep-learning algorithms to detect the presence of disease may contribute to sufficient screening, early detection, and timely… read more here.
Keywords: rop; performance deep; artificial intelligence; deep learning ... See more keywords