| Title: |
A Comparative Study of Unsupervised and Deep Learning Methods for Automatic Segmentation of Abdominal Aortic Aneurysm on CT Images: Preliminary Results |
| Authors: |
Arampatzis, D.Aff7; Athanasiadis, E.Aff8; Kontopodis, E.Aff8; Theodorakopoulos, Ι.Aff9; Theocharakis, I.Aff8; Kostopoulos, S.Aff8; Glotsos, D.Aff8; Asvestas, P.Aff8; Raptis, A.Aff10; Manopoulos, Ch.Aff10; Moulakakis, K.Aff11, Aff12; Kakisis, J.Aff11, Aff12; Kalatzis, I.Aff8 |
| Contributors: |
Rezaei, Nima, Series EditorAff1; Steinlein, Ortrud, Series EditorAff2; Xiao, Junjie, Series EditorAff3; Rosenhouse-Dantsker, Avia, Series EditorAff4; Gerlai, Robert, Series EditorAff5; Vlamos, Panagiotis, editorAff6 |
| Source: |
GeNeDIS 2024 : AI, Data Science, and Computational Biology in Healthcare. 1489:335-345 |
| Database: |
Springer Nature eBooks |