Design of IoT platform for Cancer Detection using high frequency ultrasound
Design of IoT platform for Cancer Detection using high frequency ultrasound
Cancer is one of the deadliest diseases that humanity has known in the last century, almost one in 6 deaths in the world is due to cancer (according to the WHO). To combat this disease, several treatment techniques can be used including surgery. During the surgery the surgeon tries to completely or partially remove the tumor or cancerous tissue from a specific location of the body, for this he needs to target the cancerous tissue well in order to minimize the waste of healthy tissue which surround. The objective of this work is to propose an IoT (Internet of Things) device to differentiate, during surgery, healthy tissue from cancerous tissue. The idea is to design a connected object in the form of a pen which will be in contact with the area of the tissue to be tested. This “Cancer Pen” will allow on the one hand to collect information on the tissue concerned thanks to a sensor but also to an on-board system capable of adapting the data collected by the sensor and subsequently sending it to the application interface of the IoT platform. The latter consults a database of reference information on healthy tissues and can, by comparing this information with that sent by the Cancer Pen, decide whether the tissue examined is cancerous or healthy.
IoT, high frequency ultrasound, cancer detection, AI algorithm, ultrasound sensor, IoT application
Master's degree in electronics and computer science, embedded systems or electronic and network computing.
Thesis co-supervisor: Pr. Sara BAKKALI
Please send the application before September 30, 2024 to:
Cedoc.admission@ueuromed.org & h.saikouk@insa.ueuromed.org