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Call for Papers ::. ======================= Mathematics
- IF 1.105 Advances in Mathematical Methods for Machine Learning Algorithms for Computer Aided Diagnostic System
Computer-aided diagnosis (CAD) systems have gained a great deal of attention in recent years. Medical-imaging-based CAD systems are most commonly in use to help physicians. These systems can help to extract regions of interest from any imaging modality and can identify different diseases, like brain tumors, Alzheimer’s disease, Parkinson’s disease, lung nodules, cerebral microbleeds, and many more. These systems can be used to detect the above-mentioned diseases at an early stage for better and effective treatment. This makes these systems more critical and requires more reliable and accurate diagnosis. Machine learning algorithms have recently seen wide use in CAD systems. The advances in machine learning algorithms have proved helpful to improve the performance of CAD systems. In this way, this Special Issue focuses on the use of current advances in machine learning for medical imaging modalities. This Special Issue provides a platform for researchers from academia and industry to present their novel and unpublished work in the domain of medical imaging. This will help to foster future research in emerging fields of medical imaging and its related fields.
Important
Dates
Guest
Editors Seungmin
Rho, Sejong University,
Republic of Korea -- Damien Sauveron http://damien.sauveron.fr/ |
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