Accuracy improvement of 3D hepatic vascular network in ultrasound volumes by incorporating multi-module learning of vessel radius patterns and bifurcation likelihood distribution into 3D U-net
- DOI
- 10.1016/j.cmpb.2026.109701
- Published
- 2027-02
- Container
- Computer Methods and Programs in Biomedicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cmpb.2026.109701,
title = {Accuracy improvement of 3D hepatic vascular network in ultrasound volumes by incorporating multi-module learning of vessel radius patterns and bifurcation likelihood distribution into 3D U-net},
author = {Yukino Takahashi and Kaori Shinoda and Takumi Noda and Kaho Takahashi and Takeru Kurihara and Shinya Onogi and Yoshikazu Nakajima and Yoshihiro Edamoto and Kohji Masuda},
year = {2027},
journal = {Computer Methods and Programs in Biomedicine},
doi = {10.1016/j.cmpb.2026.109701},
url = {https://doi.org/10.1016/j.cmpb.2026.109701}
}RIS
TY - JOUR TI - Accuracy improvement of 3D hepatic vascular network in ultrasound volumes by incorporating multi-module learning of vessel radius patterns and bifurcation likelihood distribution into 3D U-net AU - Yukino Takahashi AU - Kaori Shinoda AU - Takumi Noda AU - Kaho Takahashi AU - Takeru Kurihara AU - Shinya Onogi AU - Yoshikazu Nakajima AU - Yoshihiro Edamoto AU - Kohji Masuda PY - 2027 JO - Computer Methods and Programs in Biomedicine DO - 10.1016/j.cmpb.2026.109701 UR - https://doi.org/10.1016/j.cmpb.2026.109701 ER -
APA
Takahashi, Y., Shinoda, K., Noda, T., Takahashi, K., Kurihara, T., Onogi, S., Nakajima, Y., Edamoto, Y., & Masuda, K. (2027). Accuracy improvement of 3D hepatic vascular network in ultrasound volumes by incorporating multi-module learning of vessel radius patterns and bifurcation likelihood distribution into 3D U-net. Computer Methods and Programs in Biomedicine. https://doi.org/10.1016/j.cmpb.2026.109701
Source records
- crossref · retrieved 2026-11-10T20:52:59.245Z