A Review on Automated Wound Area Segmentation |
Author(s): |
| Adarsh K , College of Engineering Thalassery; Jeeshma Janardhanan, College of Engineering Thalassery |
Keywords: |
| DNN, SVM classifier, FSC |
Abstract |
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chronic wound is becoming major threats for health and economy. The current technique for wound area measurement are the ruler method and tracing. Computerized wound measurement system can provide more accurate. The process of chronic wound healing is very complex and time consuming. It is a simple and more efficient method for wound area segmentation on super pixel classifier with color and texture feature and SVM classifier. Wound segmentation can be done with the help of different machine learning algorithms like SVM, DNN FSC etc. |
Other Details |
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Paper ID: IJSRDV8I110060 Published in: Volume : 8, Issue : 11 Publication Date: 01/02/2021 Page(s): 230-231 |
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