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MIMCAD 2015 : Special Issue On: Medical Image Mining for Computer-Aided Diagnosis


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Submission Deadline Dec 31, 2014

Call For Papers

Calls for Papers (special): International Journal of Rough Sets and Data Analysis (IJRSDA)

Special Issue On: Medical Image Mining for Computer-Aided Diagnosis
Submission Due Date

Guest Editors
Dr. Jitendra Virmani, Jaypee University of Information Technology, JUIT, India

Prof. Vikrant Bhateja, Shri Ramswaroop Memorial Group of Professional Colleges, India
Prof. Nilanjan Dey, Bengal college of Engineering and Technology, Durgapur, India

Data mining is the process of extracting useful non-trivial knowledge from huge data repositories. These techniques have gained popularity in various application domains including medicine where a huge amount of data is available in the form of medical images. However, the subjective analysis of these images by radiologists is vulnerable to inter and intra-observer variability. These variations depend upon image quality as well as the expertise of the radiologists. Computer-aided diagnosis (CAD) systems are therefore employed as second readers to improve upon the precision in diagnosis; thereby enhancing the survival rates. Hence, there is a considerable interest among researchers to develop medical image mining techniques to design efficient CAD systems using medical images obtained through various imaging modalities, like X-Ray, Computed Tomography (CT), Magnetic Resonance Imaging (MRI) and Ultrasound (US). We thus invite researchers to contribute original research as well as review papers presenting novel techniques and methodologies based on medical image mining for design of efficient CAD systems.

CAD systems are computer programs to diagnose various lesions/abnormalities in different tissues using images generated from different medical imaging modalities. Recent years have seen rapid advancements in development of medical image mining techniques for design of CAD systems for breast cancer using breast images, colon cancer using abdominal imaging, lung cancer using chest images and brain cancer using brain imaging. The objective of this special issue is to provide the latest advancements in the area of medical image mining for CAD system design based on the aforesaid imaging modalities.

Recommended Topics
Papers presenting original research for Medical Image Mining for CAD system designs using X-Ray, CT, MRI and US images are sought. Topics include, but are not limited to, Medical Image Mining for:

Automatic Lesion/ Abnormality detection in medical images
CAD designs for clinical applications
Content based medical image retrieval and data mining
Edge detection and segmentation methods for medical images
Extraction and selection of optimal features for disease classification
Image fusion and mosaicing
Image indexing
Image registration
Medical image enhancement for improved visualization of diagnostic features
Medical image quality assessment
Medical image retrieval
Modeling, simulation and visualization
Multimodal image fusion
Noise suppression and preservation of diagnostic features
Performance evaluation of CAD systems for clinical applications
Soft-computing techniques for CAD systems
Volumetric medical image analysis

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Medical Image Mining for Computer-Aided Diagnosis on or before 31st December, 2014. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Dr. Jitendra Virmani
Prof. Vikrant Bhateja
Prof. Nilanjan Dey
Guest Editors

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