Human Burn Diagnosis using Machine Learning

  • Ashish Sharma


Burn area and depth assessment are critical variables for surveying the degree of burns. This paper presents a characterization model for the treatment of burns, utilizing a machine learning approach. The reason for the examination is to improve the component extraction model to recognize the burn.

The main objective of the research is to provide a novel method that can perform better with a state-of-the-art machine learning technique to segment with the SVM on the burn images. The proposed method is freeware using a machine learning approach with SVM (MLSF-SVM).  In the training of the framework, we labeled 1000 and 74 images from COCO and BIS data set respectively and trained our model on 1000 images. As a result, the comparison is made on different state of the art methods. Finally, the accuracy of the model is much better using both of the data sets

How to Cite
Ashish Sharma. (2020). Human Burn Diagnosis using Machine Learning. International Journal of Advanced Science and Technology, 29(06), 4500 - 4505. Retrieved from