Results 241 to 250 of about 7,122,625 (292)

Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review

Computers and Electronics in Agriculture, 2022
Yuzhen Lu, Yanbo Huang
exaly   +2 more sources

Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches.

Seminars in Cancer Biology, 2023
Breast cancer is a significant global health burden, with increasing morbidity and mortality worldwide. Early screening and accurate diagnosis are crucial for improving prognosis.
Jiadong Zhang, Jiaojiao Wu, Xiaoping Zhou, Feng Shi, Dinggang Shen   +4 more
semanticscholar   +1 more source

Accurate Glass Insulators Defect Detection in Power Transmission Grids Using Aerial Image Augmentation

IEEE Transactions on Power Delivery, 2023
Insulator is one of the most critical components of power transmission lines and its timely and accurate defect detection is considered important to ensure reliable and safe operation of transmission grids.
Yuan Cao, Hao-Chen Xu, Chao Su, Qiang Yang   +3 more
semanticscholar   +1 more source

Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN

Comput. Biol. Medicine, 2022
Lesion detectors based on deep learning can assist doctors in diagnosing diseases. However, the performance of current detectors is likely to be unsatisfactory due to the scarcity of training samples.
Q. Guan, Yizhou Chen, Zihan Wei, Ali Asghar Heidari, Haigen Hu, Xu-Hua Yang, Jian Zheng, Qianwei Zhou, Huiling Chen, Feng Chen   +9 more
semanticscholar   +1 more source

Augmentation of Images through DCGANs

2019 Twelfth International Conference on Contemporary Computing (IC3), 2019
Now-a-days, extending images has become a challenging task to implement. Many of algorithms like convolution neural networks (CNN), Generative Adversarial Network (GAN) are used to fill out the image spaces. But the challenge arrives to guess or make appropriate assumption of image extended borders.
Himanshu Arora, Samyak Jain, Sanket Anand, Dharmveer Singh Rajpoot   +3 more
openaire   +1 more source

Advances in diffusion models for image data augmentation: a review of methods, models, evaluation metrics and future research directions

Artificial Intelligence Review
Image data augmentation constitutes a critical methodology in modern computer vision tasks, since it can facilitate towards enhancing the diversity and quality of training datasets; thereby, improving the performance and robustness of machine learning ...
Panagiotis Sarigiannidis, Georgios Th Papadopoulos, Sarigiannidis Panagiotis   +2 more
exaly   +2 more sources

Augmented Likelihood Image Reconstruction

IEEE Transactions on Medical Imaging, 2016
The presence of high-density objects remains an open problem in medical CT imaging. Data of projections passing through objects of high density, such as metal implants, are dominated by noise and are highly affected by beam hardening and scatter. Reconstructed images become less diagnostically conclusive because of pronounced artifacts that manifest as
Maik Stille, Matthias Kleine, Julian Hagele, Jörg Barkhausen, Thorsten M. Buzug   +4 more
openaire   +2 more sources

Imaging breast augmentation and reconstruction

The British Journal of Radiology, 2008
Breast augmentation and breast reconstruction, either immediate or delayed, are increasingly common operations. All radiologists need to be able to recognize the normal appearances of the more commonly used implants on various imaging modalities, and breast radiologists in particular are facing new challenges when imaging the women involved.
C, Glynn, J, Litherland
openaire   +2 more sources

Memory-Augmented Image Captioning

Proceedings of the AAAI Conference on Artificial Intelligence, 2021
Current deep learning-based image captioning systems have been proven to store practical knowledge with their parameters and achieve competitive performances in the public datasets. Nevertheless, their ability to access and precisely manipulate the mastered knowledge is still limited.
openaire   +1 more source

Calibration propagation for image augmentation

Proceedings 2nd IEEE and ACM International Workshop on Augmented Reality (IWAR'99), 1999
Calibration is the first step in image augmentation. Classical approaches compute the projection matrix given 3D points of the scene and their 2D image correspondences. Different auto-calibration algorithms have been recently developed by the computer vision community. They do not use 3D-2D correspondences, but need many 2D-2D correspondences over long
Didier Stricker, Nassir Navab
openaire   +1 more source