Visual prompt engineering is a fundamental methodology in the field of visual and image artificial general intelligence. As the development of large vision models progresses, the …
X Liu, Q Yuan, Y Gao, K He, S Wang, X Tang, J Tang… - Pattern recognition, 2022 - Elsevier
Segmentation of infections from CT scans is important for accurate diagnosis and follow-up in tackling the COVID-19. Although the convolutional neural network has great potential to …
Z Tian, C Shen, X Wang… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
We present a high-performance method that can achieve mask-level instance segmentation with only bounding-box annotations for training. While this setting has been studied in the …
MA Abdou - Neural Computing and Applications, 2022 - Springer
Significant evolution in deep learning took place in 2010, when software developers started using graphical processing units for general-purpose applications. From that date, the deep …
Fully automatic deep learning has become the state-of-the-art technique for many tasks including image acquisition, analysis and interpretation, and for the extraction of clinically …
Despite recent progress of automatic medical image segmentation techniques, fully automatic results usually fail to meet clinically acceptable accuracy, thus typically require …
Deep learning algorithms, in particular convolutional networks, have rapidly become a methodology of choice for analyzing medical images. This paper reviews the major deep …
G Wang, W Li, MA Zuluaga, R Pratt… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) have achieved state-of-the-art performance for automatic medical image segmentation. However, they have not demonstrated sufficiently …
D Acuna, H Ling, A Kar, S Fidler - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
Manually labeling datasets with object masks is extremely time consuming. In this work, we follow the idea of Polygon-RNN to produce polygonal annotations of objects interactively …