Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification

Autor: Singh, Pranav, Chukkapalli, Raviteja, Chaudhari, Shravan, Chen, Luoyao, Chen, Mei, Pan, Jinqian, Smuda, Craig, Cirrone, Jacopo

Publikováno v: Singh, P., Chukkapalli, R., Chaudhari, S. et al. Shifting to machine supervision: annotation-efficient semi and self-supervised learning for automatic medical image segmentation and classification. Sci Rep 14, 10820 (2024)

Advancements in clinical treatment are increasingly constrained by the limitations of supervised learning techniques, which depend heavily on large volumes of annotated data. The annotation process is not only costly but also demands substantial time

Externí odkaz: http://arxiv.org/abs/2311.10319

Egocentric Prediction of Action Target in 3D

Autor: Li, Yiming, Cao, Ziang, Liang, Andrew, Liang, Benjamin, Chen, Luoyao, Zhao, Hang, Feng, Chen

We are interested in anticipating as early as possible the target location of a person's object manipulation action in a 3D workspace from egocentric vision. It is important in fields like human-robot collaboration, but has not yet received enough at

Externí odkaz: http://arxiv.org/abs/2203.13116

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Lactobacillus fermentum WC2020 increased the longevity of Caenorhabditis elegans via JNK‐mediated antioxidant pathway.

Autor: Yang, Ximiao, Chen, Jianwen, Liao, Zhenlin, Xia, Zenghui, Huang, Huiting, Huang, Jieyuxuan, Chen, Luoyao, Fang, Xiang, Gao, Chenghai, Wang, Jie

Publikováno v: Journal of Food Science (John Wiley & Sons, Inc.); Jun2024, Vol. 89 Issue 6, p3713-3728, 16p