all AI news
ISA-Net: Improved spatial attention network for PET-CT tumor segmentation. (arXiv:2211.02256v1 [eess.IV])
Nov. 7, 2022, 2:14 a.m. | Zhengyong Huang, Sijuan Zou, Guoshuai Wang, Zixiang Chen, Hao Shen, Haiyan Wang, Na Zhang, Lu Zhang, Fan Yang, Haining Wangg, Dong Liang, Tianye Niu,
cs.CV updates on arXiv.org arxiv.org
Achieving accurate and automated tumor segmentation plays an important role
in both clinical practice and radiomics research. Segmentation in medicine is
now often performed manually by experts, which is a laborious, expensive and
error-prone task. Manual annotation relies heavily on the experience and
knowledge of these experts. In addition, there is much intra- and interobserver
variation. Therefore, it is of great significance to develop a method that can
automatically segment tumor target regions. In this paper, we propose a deep …
More from arxiv.org / cs.CV updates on arXiv.org
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
1 day, 8 hours ago |
arxiv.org
Fingerprint Matching with Localized Deep Representation
1 day, 8 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne