A comparison of deep learning and hand crafted features in medical image modality classification

• Main Authors: Khan, S., Yong, S.-P.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2016
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010289859&doi=10.1109%2fICCOINS.2016.7783289&partnerID=40&md5=66a0f39813dae6207de2741da4123fad; http://eprints.utp.edu.my/30523/

Modality corresponding to medical images is a vital filter in medical image retrieval systems, as radiologists or physicians are interested in only one of radiology images e.g CT scan, MRI, X-ray. Various handcrafted feature schemes have been proposed for medical image modality classification. On th...