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The transmitted image can then be reduced, followed by an improvement in the segmentation accuracy and sensitivity. Better wound healing treatment depends on segmentation and classification accuracy. The proposed framework is evaluated in terms of rates (bits per pixel), compression ratio, peak signal to noise ratio, transmission time, mean square error and diagnostic quality under telemedicine framework. A SPIHT compression technique assisted YDbDr-Fuzzy c-means clustering considerably reduces the execution time (105s), is simple to implement, saves memory (18 KB), improves segmentation accuracy (98.39%), and yields better results than the same without using SPIHT. The results favor the possibility of developing a practical smartphone-enabled telemedicine system and show the potential for being implemented in the field of clinical evaluation and the management of chronic wounds in the future.<\/jats:p>","DOI":"10.4018\/ijehmc.2019040101","type":"journal-article","created":{"date-parts":[[2019,2,27]],"date-time":"2019-02-27T11:44:07Z","timestamp":1551267847000},"page":"1-20","source":"Crossref","is-referenced-by-count":9,"title":["Performance Analysis of Compression Techniques for Chronic Wound Image Transmission Under Smartphone-Enabled Tele-Wound Network"],"prefix":"10.4018","volume":"10","author":[{"given":"Chinmay","family":"Chakraborty","sequence":"first","affiliation":[{"name":"Dept. of Electronics & Communication Engineering, Birla Institute of Technology, Jharkhand, India"}]}],"member":"2432","reference":[{"key":"IJEHMC.2019040101-0","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2006.10.002"},{"issue":"2","key":"IJEHMC.2019040101-1","first-page":"1","article-title":"Performance evolutionary in AWGN channel for 802.11a high-speed network. 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