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Medical media analytics receives vast popularity nowadays because of its effectiveness in improving the performance of diverse health-care applications. In this study, the essential disease severity prediction problem in medical media analytics is investigated and a computer-aided diagnosis (CAD) strategy based on ranking and learning techniques is presented to tackle the disease severity prediction...
Moving object localization is a popular study in contemporary computer vision, provided the fact that many challenging problems, such as illumination changes, obstacles, object shape transformation, etc, are still to be deeply investigated and properly tackled in moving object localization for the time being. In this study, a new clustering-based strategy is introduced to realize the moving object...
Dementia disease is globally acknowledged as one of the most severe non-communicable diseases nowadays. Identifying different stages of dementia disease is significant in its later treatment for delaying the onset and progression of the disease. Among diverse types of tools utilized in dementia disease diagnosis, brain scanning is generally accepted as an effective and affordable way at present. There...
In this study, a novel region-based image retrieval approach via ranking and multi-view learning techniques is introduced for the first time based on medical multi-modality data. A surrogate ranking evaluation measure is derived, and direct optimization via gradient ascent is carried out based on the surrogate measure to realize ranking and learning. A database composed of 1000 real patients data...
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