[visionlist] CFP Special Session on machine learning methods applied to medical image analysis” at IEEE IPTA 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 abreakthrough 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 ofimage
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 classification

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


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