[visionlist] CFP Special Session on machine learning methods applied to medical image analysis" at IEEE IPTA 2017

Jose Dolz jose.dolz.upv at gmail.com
Tue Jun 6 08:45:18 -05 2017

CFPs for the special session on machine learning methods applied to medical
image analysis" at IEEE IPTA 2017 is now open.


Medical imaging has evolved to become an essential tool for diagnosis,
treatment and followup of patient diseases. Nowadays, medical imaging is
still on the rise with new image modalities being incorporated and
continuous enhancement on image processing techniques. Particularly, over
the last years there has been an increasing interest in using machine
learning methods to analyse medical data. Some of these techniques have
become a
breakthrough in the medical image field, demonstrating outstanding
performance in a wide range of medical applications. This makes that some
of the machine learning subfields, such as deep learning, are steadily
growing for solving biomedical and biological imaging and image analysis
problems, with increased participation of industry and academia. This
special session aims to present advances and original machine
learning-based methods of
image processing and applications in the field of health. It will be an
opportunity to exchange the results of research and new developed
techniques in this research field with promising prospects.

The topics of interest include, but are not limited to:

   - Medical image classification
   - Medical image segmentation
   - Deep learning models for medical image analysis
   - Data-driven biomarker discovery for disease detection and
   - Radiomic and radiogenomic analysis

*Paper Submission*

Please submit your full paper choosing the right track on the Conference
Management Toolkit (Microsoft’s CMT) site.  See Paper Submission
page for more details. All papers must be written in English and should
describe original work. The length of the paper is limited to a maximum of
6 pages (in the standard IEEE conference double column format).

*Important dates*
*Submission Deadline: * * July 10th, 2017*
*Notification of Acceptance: * * September 30th, 2017*
*Final Paper Submission: *
* October 15th, 2017*

More info in the following link:


Jose Dolz, PhD

*Jose Dolz*
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