Robust Segmentation via Topology Violation Detection and Feature Synthesis-Reference-Cited by-同舟云学术

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Robust Segmentation via Topology Violation Detection and Feature Synthesis

Published:2023 Issue: Volume: Page:67-77
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Li Liu,Ma Qiang,Ouyang Cheng,Li Zeju,Meng Qingjie,Zhang Weitong,Qiao Mengyun,Kyriakopoulou Vanessa,Hajnal Joseph V.,Rueckert Daniel,Kainz Bernhard

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-43901-8_7

Reference26 articles.

1. Byrne, N., Clough, J.R., Valverde, I., Montana, G., King, A.P.: A persistent homology-based topological loss for CNN-based multiclass segmentation of CMR. IEEE Trans. Med. Imaging 42(1), 3–14 (2022)

2. Clough, J.R., Byrne, N., Oksuz, I., Zimmer, V.A., Schnabel, J.A., King, A.P.: A topological loss function for deep-learning based image segmentation using persistent homology. IEEE Trans. Pattern Anal. Mach. Intell. 44(12), 8766–8778 (2020)

3. Lecture Notes in Computer Science;JR Clough,2019

4. Dale, A.M., Fischl, B., Sereno, M.I.: Cortical surface-based analysis: I. segmentation and surface reconstruction. Neuroimage 9(2), 179–194 (1999)

5. Lecture Notes in Computer Science;P de Dumast,2021

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