Master of Science in Computer Science

Faculty / School

Faculty of Computer Sciences (FCS)


Department of Computer Science

Date of Submission



Dr. Muhammad Sarim, Visiting Faculty, Department of Computer Science, Institute of Business Administration (IBA), Karachi

Project Type

MSCS Survey Report


Machine learning and its subsets have gained significant attention and growth in the last decade, especially the field of deep learning. From image analytics to natural language processing, deep learning models are at the heart of countless applications in a variety of industries. Deep Convolutional Neural Networks have shown remarkable performance at solving computer vision problems. As their potential continues to be proven by their ability to exceed human performance, they have started seeing use in the medical industry as well. Herein we provide a short overview of deep learning and a survey of the problems tackled by applying CNNs in healthcare, with a particular focus on magnetic resonance images. We also discuss the overall challenges associated with using these models in a healthcare environment.


To summarize, we take a look at the basics of machine learning, deep learning and convolutional neural networks, as well as the research in recent years surrounding their usage for magnetic resonance imagery. Following which, we took a look at the challenges that arise when implementing CNNs in healthcare. We believe there is an exciting future in the next few years as deep learning researchers and medical experts collaborate on solving these challenges.

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