Automatic segmentation using a hybrid dense network integrated with an 3D-atrous spatial pyramid pooling module for computed tomography (CT) imaging
Computed tomography (CT) with a contrast-enhanced imaging technique is extensively proposed for the assessment and segmentation of multiple organs, especially organs at risk. It is an important factor involved in the decision making in clinical applications. Automatic segmentation and extraction of...
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| Main Authors: | Qayyum, A., Ahmad, I., Mumtaz, W., Alassafi, M.O., Alghamdi, R., Mazher, M. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23419 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2020
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102758579&doi=10.1109%2fACCESS.2020.3024277&partnerID=40&md5=1be21be953f9cfbf811ff1b17e08fed8 http://eprints.utp.edu.my/23419/ |
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