posted by user: InesRAHMANY || 5293 views || tracked by 5 users: [display]

DeepLearning CAD 2018 : Deep Learning for Computer-Aided Diagnosis (CAD) systems- IPAS 2018- Special Session

FacebookTwitterLinkedInGoogle

Link: http://Deep learning for Computer-Aided Diagnosis (CAD) systems
 
When Dec 12, 2018 - Dec 14, 2018
Where Nice- France
Submission Deadline Sep 11, 2018
Notification Due Oct 15, 2018
Final Version Due Oct 30, 2018
Categories    deep learning   machine learning   medical imaging   CAD
 

Call For Papers

Call for Special Session Papers



Deep learning for Computer-Aided Diagnosis (CAD) systems

Mr. Ramzi GUETARI, ISI, Tunis El Manar University, Mme. Nawres KHLIFA, ISTMT, Tunis El Manar University
ramzi.guetari@gmail.com,nawres.khlifa@istmt.utm.tn


Third IEEE International Conference on Image Processing, Applications and Systems (IPAS 2018)
12-14 December 2018, University of Nice Sophia Antipolis, France

http://ipas.ieee.tn


Computer-aided diagnosis (CAD) has become one of the major research subjects in medical imaging. It enables early disease detection and robust diagnosis decision. CAD systems are more and more developed in order to help and improve the diagnosis, to overcome the limits of the human analysis, and to detect the pathological changes which cannot be sometimes detected by doctors.


CAD systems require the extraction of the most significant features to recognize or classify data. However, feature extraction is a difficult and boring task. Deep learning based systems overcome this limitation by extracting automatically relevant features. Indeed, it allows using directly the whole image and avoids the search for the best representation. Importantly, a deep learning process can learn which features to optimally place in which level on its own.



This special session is focused on the application of deep learning methods in medical images analysis and CAD systems development.

The aim of this special session is to attract researchers interested in CAD development using deep learning. Both theoretical and application contributions will be entertained.



IMPORTANT DATES



Paper Submission September 11, 2018

Notification of acceptance October 15, 2018

Final Decision October 30, 2018



The session will seek original work on the following aspects but not limited to:

ยท Deep learning for:

- Tumor cell analysis

- Deformation detection

- Tissue Image Classification

- Texture Analysis

- Nodule classification



More information about the Conference including details on the submission process and authors kit is available at http://ipas.ieee.tn

Related Resources

Bio-inspired Deep Learning 2021   CFP: Bio-inspired Deep Learning Image and Signal Processing Pipelines in Medical Oncology - PeerJ
IEEE COINS 2021   Internet of Things IoT | Artificial Intelligence | Machine Learning | Big Data | Blockchain | Edge & Cloud Computing | Security | Embedded Systems | Circuit and Systems | WSN | 5G
Identifying Deep Fakes 2021   Deep Learning Algorithms and Techniques to Identify Deepfakes
IARCE 2021-Ei Compendex & Scopus 2021   2021 5th International Conference on Industrial Automation, Robotics and Control Engineering (IARCE 2021)
ML_BDA 2021   Special Issue on Machine Learning Technologies for Big Data Analytics
DMSE 2021   2nd International Conference on Data Mining and Software Engineering
MDPI mathematics 2021   MDPI mathematics - Special Issue on Computational Optimizations for Machine Learning
IJAD 2021   International Journal of Advanced Dermatology
Call for Book Chapter 2021   Handbook of DeepFakes and Face Manipulations - Call for Chapters
EDTECH 2021   2nd International Conference on Education and Integrating Technology