Clinical Image Analysis

Mohammad Faizal Ahmad Fauzi has joined the CIA Lab as a post doctoral researcher. He received his Ph.D. in Electronics and Computer Science from University of Southampton, Southampton, UK. His main research interests are in image processing and pattern recognition with applications to biomedical informatics.  Further information about the Clinical Image Analysis Lab and all of its work can be found at www.bmi.osu.edu/cialab

Clinical Image Analysis Lab (CIALAB) researchers at The Ohio State University have developed quantitative image analysis algorithms to help better their understanding of how certain breast cancer therapies work. These types of algorithms, already shown be safe and effective to help doctors in breast cancer detection, can also help researchers unlock the mystery of how certain treatments work. The methodology and findings were published in the latest issue of PLOS ONE  ( http://bit.ly/188kFpA ). Both radiological and microscopic imaging plays a key role in detection, diagnosis, and treatment of breast cancer as well as developing effective therapies against it. Typically, these images are analyzed by human readers (e.g. radiologist, pathologist) to detect disease patterns or to quantify changes. Due to variation between different readers, these results are not always accurate or consistent. That’s where computers come into play. Artificial intelligence and computer vision technolo