\'Evaluation d'une application de transmission d'images m\'edicales avec un r\'eseau sans fil
Jackson Francomme (LATTIS), Gilles Mercier (LATTIS), Sabri Chebira

TL;DR
This paper presents a wireless platform for transmitting biomedical images, optimized for low-bandwidth networks like Wi-Fi, ensuring image quality for accurate diagnosis in telemedicine.
Contribution
It introduces a method for compressing biomedical images using wavelet techniques and evaluates Wi-Fi standards for efficient image transmission in telemedicine applications.
Findings
Achieved transmission of images at 10 frames per second over Wi-Fi.
Defined criteria for biomedical image quality suitable for telemedicine.
Assessed Wi-Fi capabilities for reliable medical image transmission.
Abstract
We offer a platform for database consultations and/or biomedical images exchanges, adapted to the low rate wireless transmission, and intended for general practitioners or specialists. The goal can be preventive, diagnostic and therapeutic. it Concerns specialties such as radiology, ultrasound, the anatomical pathology or endoscopy. The main features required in such a context are to adjust the data compression of both the specific needs of telemedicine and limited capabilities of wireless communication networks. We present our approach in which we have set out criteria on Biomedical images quality, compressed by the wavelet method to retain all the necessary information for an accurate diagnosis, and determined the characteristics of a wireless network with minimal performances for the transmission of these images within constraints related to the modality and the data flow, in this…
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Taxonomy
TopicsAdvanced Data Compression Techniques
