Recent Advances and Perspective of Studies on Visual Attention Models for ROI Extraction in Medical Images

New advances in Medical imaging have made a great impact on diagnosis and treatment planning. The most important part of medical image processing is the identifi cation of reliable and accurate ROIs. The technological advances in the fi eld of medical image processing require that the capabilities of the human perceptual system are taken into account for identifi cation and extraction of ROI. In general, the main objective of these approaches is to achieve higher-accuracy rate and lower computational costs. This study summarizes the visual attention modeling and discusses the various available visual attention modals used for ROI extraction in medical image processing.

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