Computer Vision for Automated Medical Diagnosis

Overview

Over the past few decades, medical imaging techniques, such as computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), mammography, ultrasound, and X-ray, have been used for the early detection, diagnosis, and treatment of diseases. Various medical image analysis problems, such as medical image registration, anatomical and cellular structures detection, and tissue segmentation, have achieved state-of-the-art performances by applying computer vision techniques. However, how to safely and reliably deploy these technologies for facilitating further disease diagnosis and treatment planning remains an open problem.

In this workshop, we aim to bring together researchers in computer vision, machine learning, healthcare, and clinical fields to facilitate discussions on related challenges, possible solutions, and future directions. We hope that the proposed workshop is fruitful in offering a step towards building autonomous clinical decision-making systems with a higher-level understanding of medical computer vision.

Important Dates

Submissions: Jul. 31 2021, AoE

Notifications: Aug. 9, 2021

Camera-ready: Aug. 13, 2021

Workshop: Oct. 17, 2021

Call for Submissions

We invite participation in the 1st Workshop on Computer Vision for Automated Medical Diagnosis (CVAMD), to be held as part of the ICCV2021 conference.

Please check Submissions for more information about the topics and submission instructions.

Contact

Please contact Dr. Yuyin Zhou (zhouyuyiner@gmail.com) or Dr. Lequan Yu (lqyu@hku.hk) if you have any questions.