Web: http://arxiv.org/abs/2209.09657

Sept. 21, 2022, 1:13 a.m. | Haofeng Li, Junjia Huang, Guanbin Li, Zhou Liu, Yihong Zhong, Yingying Chen, Yunfei Wang, Xiang Wan

cs.CV updates on arXiv.org arxiv.org

Deep neural networks (DNNs) have been widely adopted in brain lesion
detection and segmentation. However, locating small lesions in 2D MRI slices is
challenging, and requires to balance between the granularity of 3D context
aggregation and the computational complexity. In this paper, we propose a novel
view-disentangled transformer to enhance the extraction of MRI features for
more accurate tumour detection. First, the proposed transformer harvests
long-range correlation among different positions in a 3D brain scan. Second,
the transformer models a …

arxiv brain detection transformer

More from arxiv.org / cs.CV updates on arXiv.org

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Senior Research Engineer, Applied Language

@ DeepMind | Mountain View, California, US

Machine Learning Engineer

@ Bluevine | Austin, TX

Lead Manager - Analytics & Data Science

@ Tide | India(Remote)

Machine Learning Engineer

@ Gtmhub | Indore, Madhya Pradesh, India