posted by user: lhan1 || 3910 views || tracked by 15 users: [display]

CITMIA 2016 : Special Issue on Computational Intelligence Technique in Medical Image Analysis


When N/A
Where N/A
Submission Deadline Jun 30, 2016
Categories    machine learning   pattern recognition   medical image analysis

Call For Papers

CFP: Special Issue "Computational Intelligence Technique in Medical Image Analysis" ( Deadline for manuscript submissions: 30 June 2016

Dear Colleagues,

Computational Intelligence (CI) is a set of nature-inspired computational methodologies and approaches to address complex real-world problems to which traditional approaches are ineffective or infeasible. The techniques of computational intelligence have been successfully developed in areas such as artificial neural networks, fuzzy systems, and evolutionary algorithms.

On the other hand, medical image analysis has become an essential component in many fields of bio-medical research and clinical practice. Radiologists identify and quantify tumors from Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scans, physicians detect breast cancer from mammograms, and neuroscientists detect regional metabolic brain activity from Positron Emission Tomography (PET) and functional MRI scans. In a word, medical image analysis offers useful information on patients’ medical conditions and clues to the causes of their symptoms and diseases.

However, medical images provide a mass of information that physicians must interpret. Therefore, computer aids are demanded and become indispensable in physicians’ decision-making. In last decade, computational intelligence has been used in medical imaging, such as in computer-aided diagnosis for breast cancer, prostate cancer, and brain disease, in lung function analysis, and in radiation therapy.

This Special Issue aims to provide a comprehensive overview of the state-of-the-art computational intelligence research and technologies in medical image analysis. Scholars are invited to contribute original studies that have reached the practical level, and those technologies that are rapidly becoming available in clinical practices in hospitals, such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy.

Potential topics may include, but are not limited to:

The use of CI techniques such as:

--Pattern Recognition Methods, such as artificial neural networks, support vector machine, deep learning

--Swarm intelligence, such as ant colony optimization, particle swarm optimization, artificial bee colony, glowworm swarm optimization, multi-swarm optimization

--Fuzzy logics, such as fuzzy rough set, fuzzy control, propositional and predicate fuzzy logics

--Chaos theory, such as chaotic maps, logistic map, Horseshoe map
Other formalisms, such as expert system, concept mining, data mining, mathematical analysis, intelligence agent, fractional calculus

for the following biomedical imaging technologies

--X-ray radiography
--Ultrasound, Ultrasonography
--Magnetic Resonance Imaging

Best wishes,
Prof. Yudong Zhang
Dr. Liangxiu Han
Guest Editors

Related Resources

IJCAI 2017   International Joint Conference on Artificial Intelligence
ICML 2017   34th International Conference on Machine Learning
MIUA 2017   Medical Image Understanding and Analysis
CVPR 2017   Computer Vision and Pattern Recognition
KALSIMIS 2017   Knowledge Acquisition and Learning in Semantic Interpretation of Medical Image Structures
PAKDD 2017   The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
CAIP 2017   Computer Analysis of Images and Patterns
IROS 2017   IEEE/RSJ International Conference on Intelligent Robots and Systems
MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
SI: CAfBMD 2016   Springer Multimedia Tools and Applications Special Issue on Content Analysis for Big Multimedia Data