A comparison of deep learning and hand crafted features in medical image modality classification
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...
| Main Authors: | Khan, S., Yong, S.-P. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.30523 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2016
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| 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/ |
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