Seminars

May 18, 2020: Ms. Nguyen Thuy Nga (Univ. Toulouse, France), Automatic detection and classification of a skin cancer lesion by machine learning: From research result to a startup company

Skin cancer is the most common cancer with two to three millions new cases per year worldwide, according to WHO. Skin Cancer Foundation Statistics stated that one in every five persons will get skin cancer in their lifetime in the US. More than 2 people die of skin cancer in the U.S every hour (see more fact in Skin cancer facts ). The cost of treatment of skin cancer is high and increases quickly. In 2011, the US spent 8.1 billion USD on skin cancer which has increased 126.2% (www.ncbi.nlm.nih.gov ). However, if it is caught in early state, it can be treated. 5-year survival rate for melanoma one type of skin cancer drops from over 99% to about 14% if it is detected at terminal stage. The huge problem is that many people have skin cancer without knowing it because of the lack of dermatologists. According to the article “Lure of cosmetic procedures compounds a shortage of dermatologists” in Star Tribune, this causes huge problem that is large delays in diagnosis and treatment. This talk is about the work our team at Torus Actions did last year which won the second prize of ISIC 2019, (challenge2019.isic-archive.com ) the international competition in detection and classification of skin cancer. The aim of this work is to detect and classify a skin cancer lesion automatically by machine learning.

Speaker: Ms. Nguyen Thuy Nga, Univ. Toulouse

Time: 15:30, Monday, May 18, 2020

Venue: Webinar – Microsoft Teams

Nguyen Thuy Nga graduated from the Hanoi National University of Education (Hanoi, Vietnam) in 2014. Then she worked at the Institute of Mathematics, Vietnam Academy of Science and Technology (VAST) as a junior researcher from 2014-2017. In 2017, she got a Master degree in Applied Mathematics at Paul Sabatier University. She is now a third-year PhD student at LAAS-CNRS, in SARA team, in Toulouse, France. Her PhD research is funded by Continental Digital Services in France (CDSF). She is a co-founder of Torus Actions Company. At Torus, she is the team leader of SkinCancerAI project. Her main research concentrates on Stochastic Modeling, Reinforcement Learning and Convex Optimization for scheduling for moving-user systems. She also interested in Machine Learning for Computer Vision.

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