Computer Vision for Medical Computing Workshop

at ACCV 2022

News

  • May 2022: We organise a Special Issue ("Deep Learning for Health and Medicine") on IEEE Intelligent Systems!

  • May 2022: We lead a Special Session on ICONIP 2022!

  • May 2022: Website of our Workshop on Computer Vision for Medical Computing launched


Call for Papers

In healthcare and medicine, an immense amount of data is being generated by distributed sensors and cameras, as well as multi-modal digital health platforms that support audio, video, image, and text. This workshop focuses on computer vision and pattern recognition tasks, such as image classification, semantic segmentation, instance segmentation, behaviour analytics and many others with special emphasis on (but not limited to) 2D/3D medical data.

We welcome submissions that are relevant to this workshop, and accepted submissions will be invited for Oral or Poster presentations during the workshop.

For more information, please click: Call for Papers.

Our CFP is here.


Organizers

Xuequan Lu

School of Information Technology, Deakin University, Australia.

Imran Razzak

School of Computer Science and Engineering, University of New South Wales, Australia.


Yuejie Zhang

School of Computing Science and Technology, Fudan University, China.

About ACCV 2022

The 16th Asian Conference on Computer Vision (ACCV 2022) will be held in Macau SAR, China on Dec 4-8, 2022. ACCV is a leading biennial international conference mainly sponsored by Asian Federation of Computer Vision. This highly successful series provides a premier forum for researchers, developers, and practitioners to present and discuss new problems, solutions, and technologies in computer vision and related areas. ACCV 2022 solicits high-quality original research for publication in its main conference and co-located workshops. ACCV 2022 is planned to fully be an in-person conference, while remote participation option will be provided for those who need it. Your contributions and participation will be key to its success!