Advanced Imaging for Personalized Medical Diagnosis |
Author(s): |
VIBHOR SHARMA , Poornima College of Engineering Jaipur; Mr. SUNIL GUPTA, Poornima College of Engineering Jaipur |
Keywords: |
Artificial Intelligence (AI), Big Data, Personalized Medicine (PM), Expert Systems (ES), Magnetic Resonance Imaging (MRI), Computed Tomography (CT), Biomedical Image Processing |
Abstract |
Important technological progress and automation in lots of teams of medical issues have elevated an curiosity in totally computerized measurement additionally in picture evaluation, segmentation, and processing. This automation has been applied solely underneath specific situations and in specific groups of medical issues. Radiographic pictures obtained from electrocardiography, mammography and different equipments are ceaselessly used strategies for serving to in early analysis. The current-day technological developments embrace the Magnetic Resonance Imaging (MRI) scans, Computed Tomography (CT) scans, superior X-rays and different radiographic photos which assist us in detection of varied illnesses (Brain Tumour, Cervical Lesions). Within the near future, Artificial Intelligence (AI) permits conceiving Expert Systems (ES) which can probably help physicians with differential analysis of ailments, remedy choices, solutions, and proposals, and, for medical imaging, with cues in picture interpretation. Mining and superior evaluation of “big data†in well care present the potential not solely to carry out “in silico†analysis but to supply “actual time†diagnostic and (probably) therapeutic suggestions based mostly on empirical knowledge. Photos are analyzed, with probably the most important and related result from this motion gives the definition of discriminating options: floor, color, texture and edges. These options will likely to judge a picture and provide analysis as established by the professional doctor. To judge the system’s efficiency, we obtained assist from an professional doctor, who evaluated all photographs. The outcomes indicated that the ES obtained an efficiency of system and an error share together with was not evaluated by the skilled, who declared that the area was inconceivable to determine because of the picture was not clear. |
Other Details |
Paper ID: IJSRDV3I1717 Published in: Volume : 3, Issue : 1 Publication Date: 01/04/2015 Page(s): 1179-1182 |
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