Nowadays by growing the number of available medical ‎imaging data, there is a great demand towards ‎computational systems for image processing which can ‎help with the task of detection and diagnosis. Early detection of abnormalities using computational systems can help doctors to plan an effective treatment program for the patient. The main ‎challenge of medical image processing is the automatic ‎computerized detection of a region of interest. In recent years ‎in order to improve the detection speed and increase the ‎accuracy rate of ROI detection, different models based on the human vision ‎system, have been introduced. In this paper, we have provided a brief description of recent works which mostly used visual ‎models, in medical image processing and finally, ‎a conclusion is drawn about open challenges and required research in this field.‎