Degree
Master of Science in Computer Science
Department
Department of Computer Science
Faculty / School
Faculty of Computer Sciences (FCS)
Date of Submission
2020-12-15
Supervisor
Dr. Muhammad Sarim, Visiting Faculty, Department of Computer Science
Document type
MSCS Survey Report
Keywords
Magnetic resonance imaging, Convolutional neural networks, Deep learning, Image classification, Object detection, Image segmentation
Abstract
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.
Recommended Citation
Shaikh, R. A. (2020). Applications of convolutional neural networks in healthcare focused on magnetic resonance imaging: a review (Unpublished MSCS survey report). Institute of Business Administration, Pakistan. Retrieved from https://ir.iba.edu.pk/survey-reports-mscs/20
The full text of this document is only accessible to authorized users.
