We held our next tinyML Talks webcast. Mohammed Zubair from King Khalid University has presented Oral Tongue Lesion Detection using TinyML on Embedded Devices on February 16, 2021.
Oral Cavity Cancer (OCC) is one of the most common oral malignancies which according to the World Health Organization accounts for almost 3% of all cancer cases diagnosed worldwide. More than 80% of OCC cases are preceded by manifestations of lesions especially on the tongue that are generally considered as initial signs of many systematic disorders and several oral diseases. Early screening of these tongue lesions would reduce their chances of cancerous transformation thereby increasing patient survival rate. Automating the initial screening process using trained TinyML models deployed on embedded devices or smartphones for detecting benign and premalignant oral tongue lesions can prove to be an effective and inexpensive technique; that can support physicians in their daily clinical duties to triage patients for appropriate clinical care. Such intelligent devices can be leveraged as a point of care diagnostic tool in remote healthcare clinics where access to specialized medical resources is limited.
Dr. Mohammed Zubair M. Shamim received his PhD in Electronics Engineering and Physics from the University of Dundee (United Kingdom) in 2008. Previously he has served as an R&D Engineer at Quantum Filament Technologies (UK) and as a Senior Research Scientist at Institute for Parallel and Distributed Systems at the University of Stuttgart (Germany). Presently he is an Associate Professor in the College of Engineering and a Consultant for the Center of Artificial Intelligence at King Khalid University (Saudi Arabia). He is also a Senior Member of the Institute of Electrical & Electronics Engineers. His recent research has been focused on developing intelligent embedded devices for biomedical applications.
Watch on YouTube:
Download presentation slide:
Feel free to ask your questions on this thread and keep the conversation going!