Deep Placental Vessel Segmentation for Fetoscopic Mosaicking-Reference-Cited by-同舟云学术

Deep Placental Vessel Segmentation for Fetoscopic Mosaicking

Published:2020 Issue: Volume: Page:763-773
ISSN:0302-9743
Container-title:Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
language:
Short-container-title:

Author:

Bano Sophia,Vasconcelos Francisco,Shepherd Luke M.,Vander Poorten Emmanuel,Vercauteren Tom,Ourselin Sebastien,David Anna L.,Deprest Jan,Stoyanov Danail

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-59716-0_73

Reference25 articles.

1. Almoussa, N., et al.: Automated vasculature extraction from placenta images. In: Medical Imaging 2011: Image Processing, vol. 7962, p. 79621L. International Society for Optics and Photonics (2011)

2. Aughwane, R., Ingram, E., Johnstone, E.D., Salomon, L.J., David, A.L., Melbourne, A.: Placental MRI and its application to fetal intervention. Prenatal diagnosis (2019)

3. Badrinarayanan, V., Kendall, A., Cipolla, R.: SegNet: a deep convolutional encoder-decoder architecture for image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(12), 2481–2495 (2017)

4. Lecture Notes in Computer Science;S Bano,2019

5. Bano, S., et al.: FetNet: a recurrent convolutional network for occlusion identification in fetoscopic videos. Int. J. Comput. Assist. Radiol. Surg. 15(5), 791–801 (2020)

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Patient-specific placental vessel segmentation with limited data;Journal of Robotic Surgery;2024-06-04

2. A Real-Time Image Stitching Framework for Fetoscopic Field-of-View Expansion;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

3. Novel OCT Mosaicking Pipeline with Feature-And Pixel-Based Registration;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

4. Autonomous Magnetic Navigation in Endoscopic Image Mosaics;Advanced Science;2024-03-14

5. Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings;Medical Image Analysis;2024-02