Session chairs
Rachid Jennane, University of Orleans, France (Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser.)
Mohammed EL Hassouni, University of Mohammed V, Morocco (Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser.)
Khalifa Djemal, University of Every Val d’Essonne, France (Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser.)
Oge Marques, Florida Atlantic University, USA (Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser.)
Aim & topics:
The recent advances in medical imaging have revolutionized the diagnostic of the medical images. Meanwhile, Big Data, Machine and Deep Learning are revolutionizing the way world medicine operate. With expanded storage capacity and new forms of data processing, big data and machine learning analytics are paving the way for more confident clinical decision-making and medicine research.
This special session aims at providing the most recent developments in the field of medical image analysis using big data, machine and deep learning algorithms.
The topics of this special session include (not limited to):
- Health and medical data collection
- Health and medical data analysis
- Health and medical image quality assessment and enhancement
- Recognition strategies in health and medical imaging
- Computer aided diagnostic
- E-health
- Telemedicine
- Health and medical image security and content transmission
- Health and medical applications
Authors are encouraged to submit their work by providing a paper including results, figures and references following the rules of IPTA’2019.
Call for papers
A PDF version of the call for papers can be found here.