Morphological prognosis prediction of choroid neovascularization from longitudinal SD-OCT images.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16294
Abstract: BACKGROUND Choroid neovascularization (CNV) has no obvious symptoms in the early stage, but with its gradual expansion, leakage, rupture, and bleeding, it can cause vision loss and central scotoma. In some severe cases, it will… read more here.
Keywords: network; cnv; growth; growth prediction ... See more keywords
A Novel Shape Based Plant Growth Prediction Algorithm Using Deep Learning and Spatial Transformation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3165211
Abstract: Plant growth prediction is challenging, as the growth rate varies depending on environmental factors. It is an essential task for efficient cultivation in controlled environments, such as in plant factories. In this paper, we propose… read more here.
Keywords: growth; plant growth; growth prediction; deep learning ... See more keywords
Flexible and high quality plant growth prediction with limited data
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.989304
Abstract: Predicting plant growth is a fundamental challenge that can be employed to analyze plants and further make decisions to have healthy plants with high yields. Deep learning has recently been showing its potential to address… read more here.
Keywords: time; time series; plant growth; growth prediction ... See more keywords
Computer Vision Techniques for Growth Prediction: A Prisma-Based Systematic Literature Review
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DOI: 10.3390/app13095335
Abstract: Growth prediction technology is not only a practical application but also a crucial approach that strengthens the safety of image processing techniques. By supplementing the growth images obtained from the original images, especially in insufficient… read more here.
Keywords: growth; literature review; systematic literature; growth prediction ... See more keywords
Training Deep Neural Networks with Novel Metaheuristic Algorithms for Fatigue Crack Growth Prediction in Aluminum Aircraft Alloys
Sign Up to like & getrecommendations! Published in 2022 at "Materials"
DOI: 10.3390/ma15186198
Abstract: Fatigue cracks are a major defect in metal alloys, and specifically, their study poses defect evaluation challenges in aluminum aircraft alloys. Existing inline inspection tools exhibit measurement uncertainties. The physical-based methods for crack growth prediction… read more here.
Keywords: growth; crack growth; neural networks; growth prediction ... See more keywords