Interactive image segmentation of MARS datasets using bag of features

In this paper, we propose a slice-based interactive segmentation of spectral CT datasets using a bag of features method. The data is acquired from a MARS scanner which divides up the x-ray spectrum into multiple energy bins for imaging. In literature, most existing segmentation methods are limited t...

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Detalles Bibliográficos
Autores principales: Kanithi, Praveenkumar, de Ruiter, Niels J A, Amma, Maya R, Lindeman, Robert W, Butler, Anthony P H, Butler, Philip H, Chernoglazov, Alexander I, Mandalika, V B H, Adebileje, Sikiru A, Alexander, Steven D, Anjomrouz, Marzieh, Asghariomabad, Fatemeh, Atharifard, Ali, Atlas, James, Bamford, Benjamin, Bell, Stephen T, Bheesette, Srinidhi, Carbonez, Pierre, Chambers, Claire, Clark, Jennifer A, Colgan, Frances, Crighton, Jonathan S, Dahal, Shishir, Damet, Jerome, Doesburg, Robert M N, Duncan, Neryda, Ghodsian, Nooshin, Gieseg, Steven P, Goulter, Brian P, Gurney, Sam, Healy, Joseph L, Kirkbride, Tracy, Lansley, Stuart P, Lowe, Chiara, Marfo, Emmanuel, Matanaghi, Aysouda, Moghiseh, Mahdieh, Palmer, David, Panta, Raj K, Prebble, Hannah M, Raja, Aamir Y, Renaud, Peter, Sayous, Yann, Schleich, Nanette, Searle, Emily, Sheeja, Jereena S, Uddin, Rayhan, Vanden Broeke, Lieza, Vivek, V S, Walker, E Peter, Walsh, Michael F, Wijesooriya, Manoj, Younger, W Ross
Lenguaje:eng
Publicado: 2021
Acceso en línea:https://dx.doi.org/10.1109/trpms.2020.3030045
http://cds.cern.ch/record/2772242

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