Automatic segmentation using a hybrid dense network integrated with an 3D-atrous spatial pyramid pooling module for computed tomography (CT) imaging

• Main Authors: Qayyum, A., Ahmad, I., Mumtaz, W., Alassafi, M.O., Alghamdi, R., Mazher, M.
• Format: Article
• 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/

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...