SS05- Deep Learning and the Applications in Medical Imaging Analysis (DLAMA)
Special Session Organized by
Yinghuan Shi, Nanjing University, China; Changqing Zhang, Tianjin University, China; Luping Zhou, Sydney University, Australia; Daoqiang Zhang, Nanjing University of Aeronautics and Astronautics, China;
Currently, deep learning is playing an essential role in the medical imaging field, including computerassisted diagnosis, image segmentation, image fusion, image-guided therapy, image annotation, and image database retrieval. With advances in medical imaging, new imaging modalities and methodologies, and new deep learning methods, come to the stage for medical imaging. Due to large inter-subject variations and complexities, it is generally difficult to derive analytic formulations or simple equations to represent objects such as lesions and anatomy in medical images. Therefore, tasks in medical imaging require learning from patient data for heuristics and prior knowledge, in order to facilitate the detection/diagnosis of abnormalities in medical images.
The main aim of this special session is to help advance scientific research within the broad field of deep learning in medical imaging. This special session focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging. We hope it becomes an important platform for translating research from the bench to the bedside.
Topics of interest include, but are not limited to
Deep Learning; machine learning and artificial intelligence; image segmentation, registration and fusion; image reconstruction and image quality; neuro imaging; microscopy and histology image analysis; computer aided diagnosis; population imaging and imaging genetics; applications of big data in imaging; integration of imaging with non-imaging biomarkers; visualisation in biomedical imaging; surgical data science.
Submissions Procedure
All the instructions for paper submission are included in the conference website indin2020.com.
Deadlines
Deadline for submission of papers: | March 07, 2020 |
Notification of acceptance of papers: | April 18, 2020 |
Final manuscripts due: | May 09, 2020 |
Download Call for Papers
Click here to download this special session call for papers