Special Issue "Computational Intelligence Technique in Medical Image Analysis"
Deadline for manuscript submissions: closed (31 December 2016).
Interests: big data; machine learning; AI; parallel and distributed computing
Special Issues and Collections in MDPI journals
Interests: deep learning; convolutional neural network; graph convolutional network; attention network; explainable AI; biomedical image analysis; bio-inspired computing; pattern recognition; transfer learning; medical sensor
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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
- PET, SPECT
- Magnetic Resonance Imaging
- EEG, MEG, EKG
Prof. Yudong Zhang
Dr. Liangxiu Han
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Computational intelligence
- Medical image analysis
- Image processing
- Magnetic resonance imaging
- Pattern recognition
- Computer-aided diagnosis