Semi-Supervised Learning for limited medical data using Generative Adversarial Network and Transfer Learning

• Main Authors: Amin, I., Hassan, S., Jaafar, J.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097534590&doi=10.1109%2fICCI51257.2020.9247724&partnerID=40&md5=96dfedfc3c60cf2c4a670bc679a73c78; http://eprints.utp.edu.my/29860/

Deep Learning is progressively becoming popular for computer based automated diagnosis of diseases. Deep Learning algorithms necessitate a large amount of data for training which is hard to acquire for medical problems. Similarly, annotation of medical images can be done with the help of specialized...