Analisis Citra Sebagai Penilai Status Luka Berdasarkan Pressure Ulcer Scale Healing Tool

Abstract

Analisis citra digunakan untuk mempermudah identifikasi dan penyembuhan luka secara non invasive dalam dunia kedokteran. Citra luka digunakan untuk menilai status luka agar diperoleh data-data sesuai standar penilaian luka Pressure Ulcer Scale for Healing Tool (PUSH Tool). Data nilai luka diperoleh dari pengolahan citra luka dengan metode K-meansclustering. Sebanyak 20 sampel citra luka diolah, lalu dibandingkan dengan hasil pengamatan dokter untuk penentuan nilai status luka. Hasilnya diperoleh 90% keseseuain untuk nilai luasan luka dan 100% untuk nilai tipe jaringan luka.

Image analysis is used to facilitate indentification and healing non invasive wounds in the world of medicine.Wound images are used to assess wound status in order to obtain data according to the standar of wound assessment Pressure Ulcer Scala for Healing Tool (PUSH Tool). Wound value data obtained from wound image processing using K-means clustering.As many as 20 samples of wound images were processed and compared with the results of doctor;s observations for determining the value wound status.The results obtained 90% suitability for the valu of wound area and 100% for the value of wound tissue type