Dear CCSE community.

You are invited to the CCSE seminars series on Wednesday 18 Sep at 3.30 pm in building 22 room 127. The details of the seminar are provided below.

Title: Machine Learning for Cancer Detection and Classification using Medical Images

Abstract:

Machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory. Some machine learning tools like support vector machine and artificial neural networks have been extensively used to detect and classify cancers using medical images. There have been a resurgence interest to apply machine learning methods in detecting and classifying cancers using medical images with the progress of convolutional neural networks (CNNs) research, a type of neural networks that are specialized designed to deal with image datasets. There have been many works that report CNNs can outperform radiologists in the reading accuracy. In this talk, we intend to discuss some current progress in this area.

Short bio of presenter:

Andri Mirzal (Associate Professor, ICS KFUPM) received PhD and MSc in Information Science and Technology from Hokkaido University (Japan), and BEng in Electrical Engineering from ITB (Indonesia). His research interests include machine learning, bioinformatics, optimization methods, web search engine, and linear inverse problems. He won the National Research Award 2015 in ICT sector from The Research Council of Oman. He was granted several national level research grants by Malaysian government.

Seminar Coordinators 191

Dr Mahmood Niazi and Dr Muhammad Wasim ​Raed