April 30, 2014

CS Colloquium: Talk by MIAL alumna Maryam Sadeghi

MIAL alumna Maryam Sadeghi will be giving a talk at the CS Colloquium.

Mobile-health towards skin cancer prevention and diagnosis

Abstract:

Skin cancer is a large, growing, and potentially fatal problem for
people everywhere. It is the most common cancer with more than 6.3
million new patients each year worldwide; one person dies of melanoma
every hour.  However, early diagnosis of skin cancer has a 98% cure
rate compared to 15% for late diagnosis. It is worth mentioning that
70% of melanomas are discovered by the patients and their family
members rather than medical professionals.  Therefore, advances in
computer-aided diagnostic methods and point-of-care devices can aid
self-examining approaches based on digital images, and may
significantly reduce the mortality. In addition, the use of mobile
devices for medical imaging is rapidly growing. With increasing image
quality, and software designed to take advantage of the computational
power of smartphones, combined with rapidly declining costs,
Mobile-Health imaging has the potential to change the future of
medical imaging. Mobile devices are uniquely positioned to make a
significant contribution to medical imaging.  We started with
analyzing a given digital dermoscopic image for detecting and
quantifying the irregularity of two structures pigment network and
streaks in diagnosing cancerous lesions especially melanoma. At the
next step, we developed MoleScope(tm) which is a proprietary medical
device and software solution designed to enable earlier and more
reliable screening for skin cancer. MoleScope(tm) combines a compact and
affordable imaging device with a smartphone application that
interfaces with a Patient Archiving and Communication System (PACS)
for Mobile Dermatology Imaging Management (MDIM). It securely connects
remotely captured images with dermatologists and skin specialists to
enable faster and more efficient patient care and diagnosis.  The
device is paired with an app, which allows patients or care providers
to capture and share high quality microscopy images with specialists.
Our smart pattern matching techniques and algorithms (developed over
the past 4 years) visualize examples of cancerous and non-cancerous
moles, as references validated by specialists, to help patients
evaluate their moles.  Finally, I will present our Mobile-Health
efforts towards prevention of melanoma, by developing a smartphone
app, UV-Canada, to raise awareness to prevent melanoma.


Bio:

Maryam Sadeghi, the Head of the Digital Health Hub at SFU and the
co-founder and CEO at MetaOptima Technology Inc, completed her PhD in
Computing Science at Simon Fraser University in the Medical Image
Analysis lab working closely with BC Cancer Agency and UBC Skin Care
Center. As a Skin Research Training Center CIHR Scholar for two years,
she worked on visualization and analysis of malignant features of skin
lesions. She is also experienced in e- Health and mobile-Health
applications. Maryam took home the Gold award at the World Congress of
Dermatology in Seoul, Korea, for creating a computer program that uses
images to detect signs of skin cancer. She was also awarded the Silver
Medal of ACM Student Research Competition. Her research on skin cancer
prevention and detection has also recently received the Innovation
Challenge Award 2012 (The Honorable Mention Award) from NSERC, and the
CIPPRS Doctoral Dissertation award, 2012 (Honorable mention) from the
Canadian Image Processing and Pattern Recognition Society. She also
received the Dean of Graduate Studies Convocation Medal as one of
SFU's most outstanding graduate students from the Faculty of Applied
Sciences in June 2013. Also MetaOptima Technology Inc., was one of 10
companies shortlisted (out of 146 entrants) for the 2013 BCIC New
Ventures Competition.  The company won a $40,000 Wavefront Wireless
prize package. Maryam also was the winner of the SFU Entrepreneur of
the Year award and BCIC Innovation Award in 2013 as well as the Coast
capital Savings Venture Prize in Feb 2014.