Results 231 to 240 of about 11,738,094 (251)

Enhancing MR image segmentation with realistic adversarial data augmentation [PDF]

open access: yesMedical Image Analysis, 2022
The success of neural networks on medical image segmentation tasks typically relies on large labeled datasets for model training. However, acquiring and manually labeling a large medical image set is resource-intensive, expensive, and sometimes ...
Giacomo Tarroni, Shuo Wang, Chen Chen
exaly   +2 more sources

A Comprehensive Survey of Image Augmentation Techniques for Deep Learning

Pattern Recognition, 2023
Alvaro F Fuentes, Sook Yoon, Mingle Xu
exaly  

Generative Adversarial Networks in Medical Image augmentation: A review

Computers in Biology and Medicine, 2022
Haigen Hu   +2 more
exaly  

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

Computers and Electronics in Agriculture, 2022
Yanbo Huang, Yuzhen Lu
exaly  

Selective synthetic augmentation with HistoGAN for improved histopathology image classification

Medical Image Analysis, 2021
Sameer Antani, Keith C Cheng, Yuan Xue
exaly  

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